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_134_test_sub_18 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_134_test_sub_18.npy",
"length": 82,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_6201_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6201_test_sub_1.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 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_580_test_sub_15 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_580_test_sub_15.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 -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_9067_test_sub_4 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9067_test_sub_4.npy",
"length": 179,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -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_1199_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1199_test_sub_5.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 -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_6155_test_sub_6 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6155_test_sub_6.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 -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_2272_test_sub_4 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2272_test_sub_4.npy",
"length": 102,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_2817_test_sub_12 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2817_test_sub_12.npy",
"length": 144,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 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_8733_test_sub_9 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8733_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 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_4584_test_sub_17 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4584_test_sub_17.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 -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_7911_test_sub_6 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7911_test_sub_6.npy",
"length": 141,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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 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_8426_test_sub_13 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8426_test_sub_13.npy",
"length": 116,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 0 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Frank codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Frank codes"
]
} | {
"snr": 0
} |
RadSeg | RadSeg | RadarSeg_5137_test_sub_16 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5137_test_sub_16.npy",
"length": 143,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 15 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": 15
} |
RadSeg | RadSeg | RadarSeg_8577_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8577_test_sub_11.npy",
"length": 173,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_8543_test_sub_13 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8543_test_sub_13.npy",
"length": 171,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -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_4228_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4228_test_sub_8.npy",
"length": 82,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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 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_4816_test_sub_6 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4816_test_sub_6.npy",
"length": 113,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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 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_5004_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5004_test_sub_7.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 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_9473_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9473_test_sub_7.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 -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_7473_test_sub_18 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7473_test_sub_18.npy",
"length": 42,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_4323_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4323_test_sub_0.npy",
"length": 33,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_2112_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2112_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 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_3586_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3586_test_sub_3.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 -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_2056_test_sub_14 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2056_test_sub_14.npy",
"length": 195,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_4127_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4127_test_sub_1.npy",
"length": 258,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -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_2224_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2224_test_sub_2.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 16 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": 16
} |
RadSeg | RadSeg | RadarSeg_4240_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4240_test_sub_1.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 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_3939_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3939_test_sub_0.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 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_5736_test_sub_6 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5736_test_sub_6.npy",
"length": 142,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 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_1709_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1709_test_sub_2.npy",
"length": 200,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_3862_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3862_test_sub_5.npy",
"length": 250,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_4600_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4600_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 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_6556_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6556_test_sub_0.npy",
"length": 307,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -1 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": -1
} |
RadSeg | RadSeg | RadarSeg_7487_test_sub_9 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7487_test_sub_9.npy",
"length": 56,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -18 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": -18
} |
RadSeg | RadSeg | RadarSeg_5274_test_sub_8 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5274_test_sub_8.npy",
"length": 171,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -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_405_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_405_test_sub_3.npy",
"length": 190,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_915_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_915_test_sub_0.npy",
"length": 236,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 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_9445_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9445_test_sub_2.npy",
"length": 275,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_9736_test_sub_10 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9736_test_sub_10.npy",
"length": 105,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -12 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as 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": -12
} |
RadSeg | RadSeg | RadarSeg_1647_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1647_test_sub_2.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 -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_9604_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9604_test_sub_11.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 -1 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": -1
} |
RadSeg | RadSeg | RadarSeg_6462_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6462_test_sub_2.npy",
"length": 33,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_5897_test_sub_4 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5897_test_sub_4.npy",
"length": 250,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 13 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": 13
} |
RadSeg | RadSeg | RadarSeg_5981_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5981_test_sub_5.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 14 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": 14
} |
RadSeg | RadSeg | RadarSeg_1778_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1778_test_sub_11.npy",
"length": 229,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 13 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": 13
} |
RadSeg | RadSeg | RadarSeg_4544_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4544_test_sub_2.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 -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_7523_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7523_test_sub_2.npy",
"length": 40,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_2330_test_sub_12 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2330_test_sub_12.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 -7 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": -7
} |
RadSeg | RadSeg | RadarSeg_7511_test_sub_12 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7511_test_sub_12.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 12 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": 12
} |
RadSeg | RadSeg | RadarSeg_4296_test_sub_10 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4296_test_sub_10.npy",
"length": 37,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_1588_test_sub_15 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1588_test_sub_15.npy",
"length": 121,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_2918_test_sub_17 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2918_test_sub_17.npy",
"length": 141,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_6464_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_6464_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 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_76_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_76_test_sub_2.npy",
"length": 308,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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 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_352_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_352_test_sub_11.npy",
"length": 146,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 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_9926_test_sub_18 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9926_test_sub_18.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 B... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": -3
} |
RadSeg | RadSeg | RadarSeg_1400_test_sub_18 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1400_test_sub_18.npy",
"length": 293,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 3 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": 3
} |
RadSeg | RadSeg | RadarSeg_8489_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8489_test_sub_3.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 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_1506_test_sub_4 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1506_test_sub_4.npy",
"length": 168,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 10 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Frank codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Frank codes"
]
} | {
"snr": 10
} |
RadSeg | RadSeg | RadarSeg_7350_test_sub_20 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7350_test_sub_20.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 -14 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": -14
} |
RadSeg | RadSeg | RadarSeg_9227_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9227_test_sub_2.npy",
"length": 92,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_9230_test_sub_23 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9230_test_sub_23.npy",
"length": 204,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_9567_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9567_test_sub_0.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 -20 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": -20
} |
RadSeg | RadSeg | RadarSeg_5533_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5533_test_sub_2.npy",
"length": 71,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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 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_5730_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5730_test_sub_11.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 -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_3329_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3329_test_sub_0.npy",
"length": 205,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 3 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": 3
} |
RadSeg | RadSeg | RadarSeg_1098_test_sub_6 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1098_test_sub_6.npy",
"length": 216,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -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_5793_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5793_test_sub_1.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 -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_3853_test_sub_13 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3853_test_sub_13.npy",
"length": 195,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_9360_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9360_test_sub_3.npy",
"length": 190,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_9169_test_sub_4 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9169_test_sub_4.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 -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_3553_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3553_test_sub_3.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 -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_1694_test_sub_4 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1694_test_sub_4.npy",
"length": 76,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 1 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": 1
} |
RadSeg | RadSeg | RadarSeg_486_test_sub_4 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_486_test_sub_4.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 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_9980_test_sub_4 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_9980_test_sub_4.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 4 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": 4
} |
RadSeg | RadSeg | RadarSeg_2548_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2548_test_sub_5.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 -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_7703_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7703_test_sub_3.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 13 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": 13
} |
RadSeg | RadSeg | RadarSeg_3073_test_sub_4 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3073_test_sub_4.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 7 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": 7
} |
RadSeg | RadSeg | RadarSeg_2070_test_sub_11 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2070_test_sub_11.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 -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_8364_test_sub_10 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8364_test_sub_10.npy",
"length": 222,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_8324_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8324_test_sub_7.npy",
"length": 155,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_8040_test_sub_3 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_8040_test_sub_3.npy",
"length": 171,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 19 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": 19
} |
RadSeg | RadSeg | RadarSeg_5967_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5967_test_sub_5.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 -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_4100_test_sub_4 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4100_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 -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_4231_test_sub_14 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4231_test_sub_14.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 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_4214_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4214_test_sub_2.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 -14 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": -14
} |
RadSeg | RadSeg | RadarSeg_7314_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7314_test_sub_0.npy",
"length": 54,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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 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": 5
} |
RadSeg | RadSeg | RadarSeg_1253_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_1253_test_sub_7.npy",
"length": 137,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 17 dB and belongs to one of the following radar categories: Barker codes, Polyphase 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_4421_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4421_test_sub_5.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 -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_5783_test_sub_9 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_5783_test_sub_9.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 -12 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": -12
} |
RadSeg | RadSeg | RadarSeg_3073_test_sub_14 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3073_test_sub_14.npy",
"length": 174,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_841_test_sub_12 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_841_test_sub_12.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 -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_7577_test_sub_5 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_7577_test_sub_5.npy",
"length": 77,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -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_3233_test_sub_4 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3233_test_sub_4.npy",
"length": 101,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of -17 dB and belongs to one of the following radar categories: Barker codes, Polyphase ... | This signal is classified as Coherent Unmodulated Pulse Trains. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Coherent Unmodulated Pulse Trains"
]
} | {
"snr": -17
} |
RadSeg | RadSeg | RadarSeg_4803_test_sub_0 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4803_test_sub_0.npy",
"length": 91,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 14 dB and belongs to one of the following radar categories: Barker codes, Polyphase B... | This signal is classified as Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Barker codes"
]
} | {
"snr": 14
} |
RadSeg | RadSeg | RadarSeg_2273_test_sub_7 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_2273_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 B... | This signal is classified as Linear Frequency-Modulated (LFM) pulses. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Linear Frequency-Modulated (LFM) pulses"
]
} | {
"snr": 20
} |
RadSeg | RadSeg | RadarSeg_3285_test_sub_12 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_3285_test_sub_12.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 7 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": 7
} |
RadSeg | RadSeg | RadarSeg_4065_test_sub_1 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4065_test_sub_1.npy",
"length": 74,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise 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_4535_test_sub_2 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_4535_test_sub_2.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 3 dB and belongs to one of the following radar categories: Barker codes, Polyphase Ba... | This signal is classified as Polyphase Barker codes. | {
"class_list": [
"Barker codes",
"Polyphase Barker codes",
"Frank codes",
"Linear Frequency-Modulated (LFM) pulses",
"Coherent Unmodulated Pulse Trains"
],
"gt_class": [
"Polyphase Barker codes"
]
} | {
"snr": 3
} |
RadSeg | RadSeg | RadarSeg_127_test_sub_24 | npy | {
"num_channel": 2,
"channel_detail": [
"real",
"imag"
],
"path": "Electromagnetic-RadSeg-Coding_Scheme-Classification/raw_input/RadarSeg_127_test_sub_24.npy",
"length": 143,
"timestamps": [],
"fs": 3200000
} | Please assist with a radar segment classification task. The dataset consists of pulsed radar signals with signal-to-noise ratios (SNRs) ranging from -20 dB to 20 dB, at a resolution of 0.5 dB. The provided signal segment has an SNR of 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
} |
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