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_8198_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8198_test_sub_0.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 18 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": 18
} |
RadSeg | RadSeg | RadarSeg_7550_test_sub_17 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7550_test_sub_17.npy",
"length": 64,
"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 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": 1
} |
RadSeg | RadSeg | RadarSeg_3356_test_sub_4 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3356_test_sub_4.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 18 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": 18
} |
RadSeg | RadSeg | RadarSeg_6441_test_sub_10 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6441_test_sub_10.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 1 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": 1
} |
RadSeg | RadSeg | RadarSeg_9742_test_sub_12 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9742_test_sub_12.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 -3 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": -3
} |
RadSeg | RadSeg | RadarSeg_2159_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2159_test_sub_3.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 12 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": 12
} |
RadSeg | RadSeg | RadarSeg_8788_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8788_test_sub_1.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 -6 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": -6
} |
RadSeg | RadSeg | RadarSeg_9842_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9842_test_sub_0.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 -16 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": -16
} |
RadSeg | RadSeg | RadarSeg_6562_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6562_test_sub_11.npy",
"length": 136,
"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 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": 18
} |
RadSeg | RadSeg | RadarSeg_2642_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2642_test_sub_2.npy",
"length": 65,
"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 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": 6
} |
RadSeg | RadSeg | RadarSeg_1970_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1970_test_sub_2.npy",
"length": 65,
"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_4979_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4979_test_sub_0.npy",
"length": 79,
"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 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": 9
} |
RadSeg | RadSeg | RadarSeg_6209_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6209_test_sub_7.npy",
"length": 63,
"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_9967_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9967_test_sub_8.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 13 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": 13
} |
RadSeg | RadSeg | RadarSeg_5520_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5520_test_sub_3.npy",
"length": 292,
"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 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": -5
} |
RadSeg | RadSeg | RadarSeg_3952_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3952_test_sub_3.npy",
"length": 261,
"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 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_5701_test_sub_12 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5701_test_sub_12.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 4 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": 4
} |
RadSeg | RadSeg | RadarSeg_1160_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1160_test_sub_5.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 -16 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": -16
} |
RadSeg | RadSeg | RadarSeg_5211_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5211_test_sub_0.npy",
"length": 50,
"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 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": 9
} |
RadSeg | RadSeg | RadarSeg_4765_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4765_test_sub_7.npy",
"length": 47,
"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_4676_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4676_test_sub_11.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 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_112_test_sub_9 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_112_test_sub_9.npy",
"length": 150,
"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 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": 20
} |
RadSeg | RadSeg | RadarSeg_7432_test_sub_12 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7432_test_sub_12.npy",
"length": 120,
"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_8461_test_sub_9 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8461_test_sub_9.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 8 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": 8
} |
RadSeg | RadSeg | RadarSeg_4744_test_sub_15 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4744_test_sub_15.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 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_6667_test_sub_9 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6667_test_sub_9.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 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_6857_test_sub_23 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6857_test_sub_23.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 -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_8449_test_sub_10 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8449_test_sub_10.npy",
"length": 252,
"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_9936_test_sub_18 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9936_test_sub_18.npy",
"length": 220,
"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 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_1188_test_sub_20 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1188_test_sub_20.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 -6 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": -6
} |
RadSeg | RadSeg | RadarSeg_5386_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5386_test_sub_8.npy",
"length": 240,
"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_1207_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1207_test_sub_1.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 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_2506_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2506_test_sub_8.npy",
"length": 52,
"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 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": -1
} |
RadSeg | RadSeg | RadarSeg_9012_test_sub_18 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9012_test_sub_18.npy",
"length": 75,
"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 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_8034_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8034_test_sub_5.npy",
"length": 255,
"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_9296_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9296_test_sub_2.npy",
"length": 66,
"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 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": 18
} |
RadSeg | RadSeg | RadarSeg_2514_test_sub_13 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2514_test_sub_13.npy",
"length": 100,
"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 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_1269_test_sub_15 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1269_test_sub_15.npy",
"length": 310,
"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 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": 4
} |
RadSeg | RadSeg | RadarSeg_9446_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9446_test_sub_1.npy",
"length": 312,
"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 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": -4
} |
RadSeg | RadSeg | RadarSeg_2356_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2356_test_sub_5.npy",
"length": 51,
"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 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": 12
} |
RadSeg | RadSeg | RadarSeg_3122_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3122_test_sub_3.npy",
"length": 276,
"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 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": -11
} |
RadSeg | RadSeg | RadarSeg_1392_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1392_test_sub_5.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 -16 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": -16
} |
RadSeg | RadSeg | RadarSeg_7514_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7514_test_sub_0.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 17 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": 17
} |
RadSeg | RadSeg | RadarSeg_1848_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1848_test_sub_3.npy",
"length": 199,
"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 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": 11
} |
RadSeg | RadSeg | RadarSeg_9777_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9777_test_sub_0.npy",
"length": 302,
"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 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_7456_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7456_test_sub_8.npy",
"length": 44,
"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 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_319_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_319_test_sub_7.npy",
"length": 284,
"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 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": -17
} |
RadSeg | RadSeg | RadarSeg_2038_test_sub_10 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2038_test_sub_10.npy",
"length": 106,
"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 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": -11
} |
RadSeg | RadSeg | RadarSeg_3188_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3188_test_sub_5.npy",
"length": 199,
"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_1981_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1981_test_sub_2.npy",
"length": 57,
"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 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": -6
} |
RadSeg | RadSeg | RadarSeg_7344_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7344_test_sub_8.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 -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_9896_test_sub_9 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9896_test_sub_9.npy",
"length": 189,
"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 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_7101_test_sub_10 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7101_test_sub_10.npy",
"length": 193,
"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 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": -13
} |
RadSeg | RadSeg | RadarSeg_5790_test_sub_17 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5790_test_sub_17.npy",
"length": 67,
"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 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_2626_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2626_test_sub_8.npy",
"length": 242,
"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 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": 6
} |
RadSeg | RadSeg | RadarSeg_6_test_sub_15 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6_test_sub_15.npy",
"length": 47,
"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_6240_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6240_test_sub_11.npy",
"length": 292,
"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 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": 5
} |
RadSeg | RadSeg | RadarSeg_6300_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6300_test_sub_5.npy",
"length": 138,
"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 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": 12
} |
RadSeg | RadSeg | RadarSeg_376_test_sub_16 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_376_test_sub_16.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 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_6205_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6205_test_sub_3.npy",
"length": 288,
"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 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": -5
} |
RadSeg | RadSeg | RadarSeg_2030_test_sub_10 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2030_test_sub_10.npy",
"length": 220,
"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 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": -1
} |
RadSeg | RadSeg | RadarSeg_1499_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1499_test_sub_3.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 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_2091_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2091_test_sub_0.npy",
"length": 90,
"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 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_3744_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3744_test_sub_1.npy",
"length": 55,
"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 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": -7
} |
RadSeg | RadSeg | RadarSeg_923_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_923_test_sub_7.npy",
"length": 45,
"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 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": -9
} |
RadSeg | RadSeg | RadarSeg_829_test_sub_12 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_829_test_sub_12.npy",
"length": 44,
"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 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_9320_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9320_test_sub_11.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 -14 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": -14
} |
RadSeg | RadSeg | RadarSeg_6069_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6069_test_sub_3.npy",
"length": 79,
"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 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_619_test_sub_25 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_619_test_sub_25.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 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_7412_test_sub_17 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7412_test_sub_17.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 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_7677_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7677_test_sub_1.npy",
"length": 118,
"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_1395_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1395_test_sub_3.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 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_1730_test_sub_10 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1730_test_sub_10.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 -5 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": -5
} |
RadSeg | RadSeg | RadarSeg_5010_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5010_test_sub_7.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 -6 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": -6
} |
RadSeg | RadSeg | RadarSeg_1384_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1384_test_sub_3.npy",
"length": 314,
"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 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_7702_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7702_test_sub_0.npy",
"length": 147,
"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_5096_test_sub_15 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5096_test_sub_15.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 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_8183_test_sub_6 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8183_test_sub_6.npy",
"length": 73,
"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 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_6420_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6420_test_sub_2.npy",
"length": 110,
"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 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": 18
} |
RadSeg | RadSeg | RadarSeg_2070_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2070_test_sub_8.npy",
"length": 207,
"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 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": -5
} |
RadSeg | RadSeg | RadarSeg_5693_test_sub_12 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5693_test_sub_12.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 12 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": 12
} |
RadSeg | RadSeg | RadarSeg_6633_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6633_test_sub_8.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 -20 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": -20
} |
RadSeg | RadSeg | RadarSeg_6006_test_sub_10 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6006_test_sub_10.npy",
"length": 317,
"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_9229_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9229_test_sub_0.npy",
"length": 106,
"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 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": -18
} |
RadSeg | RadSeg | RadarSeg_7426_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7426_test_sub_7.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 -18 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": -18
} |
RadSeg | RadSeg | RadarSeg_2823_test_sub_13 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2823_test_sub_13.npy",
"length": 183,
"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 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": 3
} |
RadSeg | RadSeg | RadarSeg_750_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_750_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 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_5602_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5602_test_sub_11.npy",
"length": 103,
"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 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": 0
} |
RadSeg | RadSeg | RadarSeg_5791_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5791_test_sub_8.npy",
"length": 290,
"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 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": -11
} |
RadSeg | RadSeg | RadarSeg_8543_test_sub_10 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8543_test_sub_10.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_9284_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9284_test_sub_0.npy",
"length": 244,
"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 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_9319_test_sub_16 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9319_test_sub_16.npy",
"length": 99,
"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 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": -15
} |
RadSeg | RadSeg | RadarSeg_4412_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4412_test_sub_1.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 9 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": 9
} |
RadSeg | RadSeg | RadarSeg_9541_test_sub_13 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9541_test_sub_13.npy",
"length": 67,
"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 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": 0
} |
RadSeg | RadSeg | RadarSeg_6552_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6552_test_sub_8.npy",
"length": 238,
"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 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_6410_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6410_test_sub_0.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 -9 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": -9
} |
RadSeg | RadSeg | RadarSeg_5056_test_sub_19 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5056_test_sub_19.npy",
"length": 109,
"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_1342_test_sub_6 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1342_test_sub_6.npy",
"length": 172,
"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_1248_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1248_test_sub_7.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 4 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": 4
} |
RadSeg | RadSeg | RadarSeg_512_test_sub_17 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_512_test_sub_17.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 -8 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": -8
} |
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