Dataset for GLOBECOM paper 'Spectrum Monitoring for Radar Bands using Deep Convolutional Neural Networks'
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset refers to all the images+labels used for training a Convolutional Neural Network (CNN) for RF signal classification/monitoring. All samples in this dataset were collected over-the-air using a USRP N210 RF front-end. The raw IQ samples were converted into two different representations: (i) spectrograms, and (ii) amplitude+phase shift matrices. Both representations were then stored in JPEG format. The label files are present in txt format, with each line defining the image path and its class (0 or 1).Class 1 means that radar emissions (the incumbent) are present in the image, while class 0 means that they are not. Several types of radar signal waveforms were stored (e.g. LFM, barker, and, pulsed carrier). Class 0 means that no radar emissions are present. In both class 0 and class 1 images, WiFi and LTE signals may be pre' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["deep learning"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset refers to all the images+labels used for training a Convolutional Neural Network (CNN) for RF signal classification/monitoring. All samples in this dataset were collected over-the-air using a USRP N210 RF front-end. The raw IQ samples were converted into two different representations: (i) spectrograms, and (ii) amplitude+phase shift matrices. Both representations were then stored in JPEG format. The label files are present in txt format, with each line defining the image path and its class (0 or 1).Class 1 means that radar emissions (the incumbent) are present in the image, while class 0 means that they are not. Several types of radar signal waveforms were stored (e.g. LFM, barker, and, pulsed carrier). Class 0 means that no radar emissions are present. In both class 0 and class 1 images, WiFi and LTE signals may be pre' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset refers to all the images+labels used for training a Convolutional Neural Network (CNN) for RF signal classification/monitoring. All samples in this dataset were collected over-the-air using a USRP N210 RF front-end. The raw IQ samples were converted into two different representations: (i) spectrograms, and (ii) amplitude+phase shift matrices. Both representations were then stored in JPEG format. The label files are present in txt format, with each line defining the image path and its class (0 or 1).Class 1 means that radar emissions (the incumbent) are present in the image, while class 0 means that they are not. Several types of radar signal waveforms were stored (e.g. LFM, barker, and, pulsed carrier). Class 0 means that no radar emissions are present. In both class 0 and class 1 images, WiFi and LTE signals may be pre
deep learning