task_name stringclasses 13
values | dataset_name stringclasses 13
values | id stringlengths 4 47 | data_type stringclasses 4
values | input_ts dict | input_text stringclasses 593
values | gt_text stringclasses 75
values | gt_result dict | meta_data unknown |
|---|---|---|---|---|---|---|---|---|
RadSeg | RadSeg | RadarSeg_3424_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3424_test_sub_5.npy",
"length": 236,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -8 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Barker codes"
]
} | {
"snr": -8
} |
RadSeg | RadSeg | RadarSeg_1130_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1130_test_sub_2.npy",
"length": 170,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 7 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": 7
} |
RadSeg | RadSeg | RadarSeg_2651_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2651_test_sub_11.npy",
"length": 81,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -12 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": -12
} |
RadSeg | RadSeg | RadarSeg_8508_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8508_test_sub_5.npy",
"length": 86,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 9 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": 9
} |
RadSeg | RadSeg | RadarSeg_8911_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8911_test_sub_7.npy",
"length": 221,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -3 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": -3
} |
RadSeg | RadSeg | RadarSeg_8543_test_sub_16 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8543_test_sub_16.npy",
"length": 122,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -19 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": -19
} |
RadSeg | RadSeg | RadarSeg_900_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_900_test_sub_7.npy",
"length": 87,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -11 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Frank codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Frank codes"
]
} | {
"snr": -11
} |
RadSeg | RadSeg | RadarSeg_1969_test_sub_17 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1969_test_sub_17.npy",
"length": 251,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -10 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": -10
} |
RadSeg | RadSeg | RadarSeg_9802_test_sub_24 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9802_test_sub_24.npy",
"length": 161,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -7 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Barker codes"
]
} | {
"snr": -7
} |
RadSeg | RadSeg | RadarSeg_4380_test_sub_16 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4380_test_sub_16.npy",
"length": 127,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -11 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Barker codes"
]
} | {
"snr": -11
} |
RadSeg | RadSeg | RadarSeg_7472_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7472_test_sub_11.npy",
"length": 84,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 1 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": 1
} |
RadSeg | RadSeg | RadarSeg_4222_test_sub_12 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4222_test_sub_12.npy",
"length": 245,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -3 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Barker codes"
]
} | {
"snr": -3
} |
RadSeg | RadSeg | RadarSeg_7602_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7602_test_sub_0.npy",
"length": 277,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 8 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": 8
} |
RadSeg | RadSeg | RadarSeg_9049_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9049_test_sub_2.npy",
"length": 283,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 16 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Frank codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Frank codes"
]
} | {
"snr": 16
} |
RadSeg | RadSeg | RadarSeg_2783_test_sub_14 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2783_test_sub_14.npy",
"length": 235,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -18 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Barker codes"
]
} | {
"snr": -18
} |
RadSeg | RadSeg | RadarSeg_8351_test_sub_14 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8351_test_sub_14.npy",
"length": 88,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 10 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Frank codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Frank codes"
]
} | {
"snr": 10
} |
RadSeg | RadSeg | RadarSeg_6940_test_sub_17 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6940_test_sub_17.npy",
"length": 142,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -18 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": -18
} |
RadSeg | RadSeg | RadarSeg_2952_test_sub_14 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2952_test_sub_14.npy",
"length": 274,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 17 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Frank codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Frank codes"
]
} | {
"snr": 17
} |
RadSeg | RadSeg | RadarSeg_8695_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8695_test_sub_11.npy",
"length": 213,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 16 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Barker codes"
]
} | {
"snr": 16
} |
RadSeg | RadSeg | RadarSeg_9306_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9306_test_sub_7.npy",
"length": 262,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 18 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": 18
} |
RadSeg | RadSeg | RadarSeg_2760_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2760_test_sub_7.npy",
"length": 216,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -14 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Frank codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Frank codes"
]
} | {
"snr": -14
} |
RadSeg | RadSeg | RadarSeg_5387_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5387_test_sub_0.npy",
"length": 201,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -16 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": -16
} |
RadSeg | RadSeg | RadarSeg_3960_test_sub_20 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3960_test_sub_20.npy",
"length": 160,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -1 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": -1
} |
RadSeg | RadSeg | RadarSeg_9803_test_sub_6 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9803_test_sub_6.npy",
"length": 297,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 2 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": 2
} |
RadSeg | RadSeg | RadarSeg_1314_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1314_test_sub_5.npy",
"length": 218,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -18 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": -18
} |
RadSeg | RadSeg | RadarSeg_1601_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1601_test_sub_2.npy",
"length": 169,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 20 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Frank codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Frank codes"
]
} | {
"snr": 20
} |
RadSeg | RadSeg | RadarSeg_5473_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5473_test_sub_1.npy",
"length": 299,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -17 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": -17
} |
RadSeg | RadSeg | RadarSeg_2611_test_sub_14 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2611_test_sub_14.npy",
"length": 191,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -13 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Frank codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Frank codes"
]
} | {
"snr": -13
} |
RadSeg | RadSeg | RadarSeg_9466_test_sub_6 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9466_test_sub_6.npy",
"length": 146,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -11 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": -11
} |
RadSeg | RadSeg | RadarSeg_1243_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1243_test_sub_3.npy",
"length": 53,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 13 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Barker codes"
]
} | {
"snr": 13
} |
RadSeg | RadSeg | RadarSeg_8816_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8816_test_sub_3.npy",
"length": 218,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -2 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": -2
} |
RadSeg | RadSeg | RadarSeg_5062_test_sub_14 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5062_test_sub_14.npy",
"length": 87,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -19 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": -19
} |
RadSeg | RadSeg | RadarSeg_2183_test_sub_9 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2183_test_sub_9.npy",
"length": 249,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 0 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": 0
} |
RadSeg | RadSeg | RadarSeg_3179_test_sub_9 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3179_test_sub_9.npy",
"length": 237,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -18 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Barker codes"
]
} | {
"snr": -18
} |
RadSeg | RadSeg | RadarSeg_4501_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4501_test_sub_1.npy",
"length": 270,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 14 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Barker codes"
]
} | {
"snr": 14
} |
RadSeg | RadSeg | RadarSeg_4072_test_sub_4 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4072_test_sub_4.npy",
"length": 267,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 3 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": 3
} |
RadSeg | RadSeg | RadarSeg_1753_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1753_test_sub_3.npy",
"length": 318,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 12 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Frank codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Frank codes"
]
} | {
"snr": 12
} |
RadSeg | RadSeg | RadarSeg_2826_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2826_test_sub_2.npy",
"length": 129,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -12 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": -12
} |
RadSeg | RadSeg | RadarSeg_1393_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1393_test_sub_7.npy",
"length": 130,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 13 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": 13
} |
RadSeg | RadSeg | RadarSeg_8248_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8248_test_sub_11.npy",
"length": 137,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -17 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": -17
} |
RadSeg | RadSeg | RadarSeg_552_test_sub_29 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_552_test_sub_29.npy",
"length": 293,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -10 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": -10
} |
RadSeg | RadSeg | RadarSeg_6054_test_sub_6 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6054_test_sub_6.npy",
"length": 184,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -9 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Frank codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Frank codes"
]
} | {
"snr": -9
} |
RadSeg | RadSeg | RadarSeg_3312_test_sub_16 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3312_test_sub_16.npy",
"length": 260,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -11 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Frank codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Frank codes"
]
} | {
"snr": -11
} |
RadSeg | RadSeg | RadarSeg_938_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_938_test_sub_5.npy",
"length": 39,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -18 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Barker codes"
]
} | {
"snr": -18
} |
RadSeg | RadSeg | RadarSeg_2369_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2369_test_sub_8.npy",
"length": 228,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 14 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": 14
} |
RadSeg | RadSeg | RadarSeg_2046_test_sub_10 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2046_test_sub_10.npy",
"length": 315,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -8 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": -8
} |
RadSeg | RadSeg | RadarSeg_8985_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8985_test_sub_2.npy",
"length": 179,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -5 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": -5
} |
RadSeg | RadSeg | RadarSeg_5671_test_sub_9 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5671_test_sub_9.npy",
"length": 41,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 15 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": 15
} |
RadSeg | RadSeg | RadarSeg_4219_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4219_test_sub_1.npy",
"length": 311,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -15 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": -15
} |
RadSeg | RadSeg | RadarSeg_2343_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2343_test_sub_2.npy",
"length": 184,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 10 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": 10
} |
RadSeg | RadSeg | RadarSeg_3543_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3543_test_sub_3.npy",
"length": 127,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -20 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": -20
} |
RadSeg | RadSeg | RadarSeg_311_test_sub_4 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_311_test_sub_4.npy",
"length": 185,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -13 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Barker codes"
]
} | {
"snr": -13
} |
RadSeg | RadSeg | RadarSeg_9792_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9792_test_sub_3.npy",
"length": 300,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -4 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": -4
} |
RadSeg | RadSeg | RadarSeg_2273_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2273_test_sub_11.npy",
"length": 283,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 20 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Frank codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Frank codes"
]
} | {
"snr": 20
} |
RadSeg | RadSeg | RadarSeg_6154_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6154_test_sub_3.npy",
"length": 232,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 9 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": 9
} |
RadSeg | RadSeg | RadarSeg_6594_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6594_test_sub_2.npy",
"length": 258,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 17 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Frank codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Frank codes"
]
} | {
"snr": 17
} |
RadSeg | RadSeg | RadarSeg_1471_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1471_test_sub_3.npy",
"length": 87,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 6 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": 6
} |
RadSeg | RadSeg | RadarSeg_3115_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3115_test_sub_7.npy",
"length": 68,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 14 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": 14
} |
RadSeg | RadSeg | RadarSeg_831_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_831_test_sub_2.npy",
"length": 114,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 19 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": 19
} |
RadSeg | RadSeg | RadarSeg_1571_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1571_test_sub_8.npy",
"length": 268,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 3 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": 3
} |
RadSeg | RadSeg | RadarSeg_6551_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6551_test_sub_2.npy",
"length": 36,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 5 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": 5
} |
RadSeg | RadSeg | RadarSeg_5687_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5687_test_sub_2.npy",
"length": 215,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 7 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": 7
} |
RadSeg | RadSeg | RadarSeg_1287_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1287_test_sub_11.npy",
"length": 313,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -9 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": -9
} |
RadSeg | RadSeg | RadarSeg_4883_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4883_test_sub_7.npy",
"length": 184,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -14 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": -14
} |
RadSeg | RadSeg | RadarSeg_20_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_20_test_sub_2.npy",
"length": 144,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 2 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": 2
} |
RadSeg | RadSeg | RadarSeg_7269_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7269_test_sub_5.npy",
"length": 279,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 12 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": 12
} |
RadSeg | RadSeg | RadarSeg_1546_test_sub_10 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1546_test_sub_10.npy",
"length": 201,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 15 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": 15
} |
RadSeg | RadSeg | RadarSeg_4700_test_sub_6 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4700_test_sub_6.npy",
"length": 251,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -9 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": -9
} |
RadSeg | RadSeg | RadarSeg_9597_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9597_test_sub_1.npy",
"length": 273,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 1 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Barker codes"
]
} | {
"snr": 1
} |
RadSeg | RadSeg | RadarSeg_8170_test_sub_12 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8170_test_sub_12.npy",
"length": 35,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -20 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": -20
} |
RadSeg | RadSeg | RadarSeg_1637_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1637_test_sub_7.npy",
"length": 146,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -7 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": -7
} |
RadSeg | RadSeg | RadarSeg_8280_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8280_test_sub_8.npy",
"length": 231,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 0 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Frank codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Frank codes"
]
} | {
"snr": 0
} |
RadSeg | RadSeg | RadarSeg_4043_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4043_test_sub_11.npy",
"length": 300,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 2 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": 2
} |
RadSeg | RadSeg | RadarSeg_9985_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9985_test_sub_1.npy",
"length": 171,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 20 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": 20
} |
RadSeg | RadSeg | RadarSeg_5438_test_sub_17 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5438_test_sub_17.npy",
"length": 143,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -4 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": -4
} |
RadSeg | RadSeg | RadarSeg_3029_test_sub_9 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3029_test_sub_9.npy",
"length": 216,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 2 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": 2
} |
RadSeg | RadSeg | RadarSeg_4634_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4634_test_sub_0.npy",
"length": 69,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -16 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Frank codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Frank codes"
]
} | {
"snr": -16
} |
RadSeg | RadSeg | RadarSeg_2670_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2670_test_sub_2.npy",
"length": 49,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -9 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": -9
} |
RadSeg | RadSeg | RadarSeg_6397_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6397_test_sub_0.npy",
"length": 117,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 4 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": 4
} |
RadSeg | RadSeg | RadarSeg_956_test_sub_13 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_956_test_sub_13.npy",
"length": 179,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 19 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": 19
} |
RadSeg | RadSeg | RadarSeg_4742_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4742_test_sub_2.npy",
"length": 98,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -15 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Frank codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Frank codes"
]
} | {
"snr": -15
} |
RadSeg | RadSeg | RadarSeg_5317_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5317_test_sub_8.npy",
"length": 126,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 7 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Barker codes"
]
} | {
"snr": 7
} |
RadSeg | RadSeg | RadarSeg_8564_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8564_test_sub_5.npy",
"length": 43,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -8 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Barker codes"
]
} | {
"snr": -8
} |
RadSeg | RadSeg | RadarSeg_3166_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3166_test_sub_3.npy",
"length": 122,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -12 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": -12
} |
RadSeg | RadSeg | RadarSeg_9285_test_sub_6 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9285_test_sub_6.npy",
"length": 59,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -10 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": -10
} |
RadSeg | RadSeg | RadarSeg_3197_test_sub_12 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3197_test_sub_12.npy",
"length": 167,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 17 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": 17
} |
RadSeg | RadSeg | RadarSeg_1265_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1265_test_sub_2.npy",
"length": 77,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 13 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": 13
} |
RadSeg | RadSeg | RadarSeg_7395_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7395_test_sub_0.npy",
"length": 241,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -4 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": -4
} |
RadSeg | RadSeg | RadarSeg_1070_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1070_test_sub_0.npy",
"length": 68,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 9 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": 9
} |
RadSeg | RadSeg | RadarSeg_803_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_803_test_sub_2.npy",
"length": 98,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 8 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Barker codes"
]
} | {
"snr": 8
} |
RadSeg | RadSeg | RadarSeg_1506_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1506_test_sub_3.npy",
"length": 264,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 10 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": 10
} |
RadSeg | RadSeg | RadarSeg_9690_test_sub_12 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9690_test_sub_12.npy",
"length": 235,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 10 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Frank codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Frank codes"
]
} | {
"snr": 10
} |
RadSeg | RadSeg | RadarSeg_106_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_106_test_sub_5.npy",
"length": 270,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -14 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": -14
} |
RadSeg | RadSeg | RadarSeg_7068_test_sub_9 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7068_test_sub_9.npy",
"length": 188,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -20 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": -20
} |
RadSeg | RadSeg | RadarSeg_3613_test_sub_10 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3613_test_sub_10.npy",
"length": 205,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 6 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": 6
} |
RadSeg | RadSeg | RadarSeg_9027_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9027_test_sub_7.npy",
"length": 130,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 19 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": 19
} |
RadSeg | RadSeg | RadarSeg_1214_test_sub_6 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1214_test_sub_6.npy",
"length": 139,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 0 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Frank codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Frank codes"
]
} | {
"snr": 0
} |
RadSeg | RadSeg | RadarSeg_3740_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3740_test_sub_3.npy",
"length": 134,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 7 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": 7
} |
RadSeg | RadSeg | RadarSeg_993_test_sub_10 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_993_test_sub_10.npy",
"length": 60,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 4 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": 4
} |
RadSeg | RadSeg | RadarSeg_3287_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3287_test_sub_7.npy",
"length": 203,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -18 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": -18
} |
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