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_5470_test_sub_10 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5470_test_sub_10.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 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_5367_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5367_test_sub_0.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 -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_5303_test_sub_14 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5303_test_sub_14.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 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_9654_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9654_test_sub_5.npy",
"length": 78,
"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_3831_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3831_test_sub_5.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 -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_296_test_sub_9 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_296_test_sub_9.npy",
"length": 192,
"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 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": -8
} |
RadSeg | RadSeg | RadarSeg_2844_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2844_test_sub_1.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 -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_4302_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4302_test_sub_5.npy",
"length": 319,
"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_386_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_386_test_sub_5.npy",
"length": 254,
"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 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": -19
} |
RadSeg | RadSeg | RadarSeg_1240_test_sub_12 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1240_test_sub_12.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 -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_9130_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9130_test_sub_0.npy",
"length": 224,
"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_289_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_289_test_sub_0.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 -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_8717_test_sub_16 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8717_test_sub_16.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 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_8617_test_sub_14 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8617_test_sub_14.npy",
"length": 209,
"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_6869_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6869_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 -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_4264_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4264_test_sub_0.npy",
"length": 34,
"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 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": -19
} |
RadSeg | RadSeg | RadarSeg_367_test_sub_20 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_367_test_sub_20.npy",
"length": 295,
"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 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_3275_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3275_test_sub_2.npy",
"length": 281,
"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 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_5802_test_sub_10 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5802_test_sub_10.npy",
"length": 166,
"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_405_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_405_test_sub_8.npy",
"length": 38,
"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_603_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_603_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 10 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": 10
} |
RadSeg | RadSeg | RadarSeg_1008_test_sub_4 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1008_test_sub_4.npy",
"length": 253,
"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 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_2273_test_sub_17 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2273_test_sub_17.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_526_test_sub_9 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_526_test_sub_9.npy",
"length": 301,
"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_6780_test_sub_13 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6780_test_sub_13.npy",
"length": 192,
"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 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_6872_test_sub_16 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6872_test_sub_16.npy",
"length": 38,
"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 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_1974_test_sub_14 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1974_test_sub_14.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 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_5127_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5127_test_sub_0.npy",
"length": 291,
"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_7466_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7466_test_sub_8.npy",
"length": 131,
"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_5654_test_sub_16 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5654_test_sub_16.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 -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_3000_test_sub_18 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3000_test_sub_18.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 -2 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": -2
} |
RadSeg | RadSeg | RadarSeg_4382_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4382_test_sub_0.npy",
"length": 96,
"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 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_9335_test_sub_25 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9335_test_sub_25.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 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_888_test_sub_9 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_888_test_sub_9.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 6 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": 6
} |
RadSeg | RadSeg | RadarSeg_6236_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6236_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 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_9371_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9371_test_sub_3.npy",
"length": 285,
"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 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_9194_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9194_test_sub_0.npy",
"length": 225,
"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_8021_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8021_test_sub_5.npy",
"length": 263,
"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_7213_test_sub_13 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7213_test_sub_13.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 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_7333_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7333_test_sub_0.npy",
"length": 246,
"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_2611_test_sub_6 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2611_test_sub_6.npy",
"length": 83,
"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 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_2172_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2172_test_sub_8.npy",
"length": 34,
"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_838_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_838_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 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_8165_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8165_test_sub_2.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 10 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": 10
} |
RadSeg | RadSeg | RadarSeg_4786_test_sub_13 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4786_test_sub_13.npy",
"length": 226,
"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 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": -4
} |
RadSeg | RadSeg | RadarSeg_4134_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4134_test_sub_11.npy",
"length": 46,
"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_6433_test_sub_12 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6433_test_sub_12.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 17 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": 17
} |
RadSeg | RadSeg | RadarSeg_5785_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5785_test_sub_1.npy",
"length": 95,
"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_3272_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3272_test_sub_11.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 -6 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": -6
} |
RadSeg | RadSeg | RadarSeg_2477_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2477_test_sub_0.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 -4 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": -4
} |
RadSeg | RadSeg | RadarSeg_2161_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2161_test_sub_11.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 -3 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": -3
} |
RadSeg | RadSeg | RadarSeg_1437_test_sub_26 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1437_test_sub_26.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 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_1555_test_sub_18 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1555_test_sub_18.npy",
"length": 243,
"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_8208_test_sub_9 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8208_test_sub_9.npy",
"length": 158,
"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_2070_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2070_test_sub_0.npy",
"length": 135,
"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 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": -5
} |
RadSeg | RadSeg | RadarSeg_8364_test_sub_21 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8364_test_sub_21.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 -15 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": -15
} |
RadSeg | RadSeg | RadarSeg_114_test_sub_20 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_114_test_sub_20.npy",
"length": 234,
"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 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_7891_test_sub_10 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7891_test_sub_10.npy",
"length": 96,
"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_9320_test_sub_16 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9320_test_sub_16.npy",
"length": 151,
"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_1909_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1909_test_sub_11.npy",
"length": 178,
"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 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_8163_test_sub_4 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8163_test_sub_4.npy",
"length": 151,
"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_365_test_sub_9 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_365_test_sub_9.npy",
"length": 96,
"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 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_7269_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7269_test_sub_2.npy",
"length": 212,
"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_2242_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2242_test_sub_7.npy",
"length": 107,
"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 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_3050_test_sub_6 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3050_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 -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_4207_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4207_test_sub_0.npy",
"length": 287,
"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 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_3914_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3914_test_sub_1.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 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_7298_test_sub_6 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7298_test_sub_6.npy",
"length": 316,
"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_2230_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2230_test_sub_1.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 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_7818_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7818_test_sub_3.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 ... | 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_5789_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5789_test_sub_0.npy",
"length": 256,
"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_28_test_sub_4 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_28_test_sub_4.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 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_539_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_539_test_sub_0.npy",
"length": 128,
"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_787_test_sub_10 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_787_test_sub_10.npy",
"length": 280,
"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 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": 0
} |
RadSeg | RadSeg | RadarSeg_2224_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2224_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 16 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": 16
} |
RadSeg | RadSeg | RadarSeg_8790_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8790_test_sub_5.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 2 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": 2
} |
RadSeg | RadSeg | RadarSeg_9466_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9466_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 -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_5791_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5791_test_sub_3.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 -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_274_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_274_test_sub_1.npy",
"length": 214,
"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_5423_test_sub_14 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5423_test_sub_14.npy",
"length": 233,
"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_4040_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4040_test_sub_3.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 0 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": 0
} |
RadSeg | RadSeg | RadarSeg_8191_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8191_test_sub_7.npy",
"length": 104,
"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_1324_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1324_test_sub_5.npy",
"length": 304,
"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 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": 1
} |
RadSeg | RadSeg | RadarSeg_9594_test_sub_12 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9594_test_sub_12.npy",
"length": 83,
"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_5393_test_sub_4 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5393_test_sub_4.npy",
"length": 305,
"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 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": -1
} |
RadSeg | RadSeg | RadarSeg_5313_test_sub_6 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5313_test_sub_6.npy",
"length": 187,
"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 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": 8
} |
RadSeg | RadSeg | RadarSeg_9179_test_sub_13 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9179_test_sub_13.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 -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_1736_test_sub_36 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1736_test_sub_36.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 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_1114_test_sub_9 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1114_test_sub_9.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 -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_8685_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8685_test_sub_3.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 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_188_test_sub_22 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_188_test_sub_22.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 20 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": 20
} |
RadSeg | RadSeg | RadarSeg_5404_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5404_test_sub_8.npy",
"length": 192,
"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_2712_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2712_test_sub_3.npy",
"length": 119,
"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_6306_test_sub_6 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6306_test_sub_6.npy",
"length": 309,
"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 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": 2
} |
RadSeg | RadSeg | RadarSeg_4460_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4460_test_sub_2.npy",
"length": 227,
"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_8455_test_sub_12 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8455_test_sub_12.npy",
"length": 298,
"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
} |
RadSeg | RadSeg | RadarSeg_5702_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5702_test_sub_3.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 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_8003_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8003_test_sub_8.npy",
"length": 298,
"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 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_7484_test_sub_6 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7484_test_sub_6.npy",
"length": 83,
"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_3095_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3095_test_sub_0.npy",
"length": 70,
"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 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": 10
} |
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