{"title":"A detection scheme for Gaussian envelope pulses over k-noise by means of the Wigner-Ville transform","authors":"Michael A. Rodriguez, L. Vergara","doi":"10.1109/TFSA.1996.547220","DOIUrl":null,"url":null,"abstract":"In this paper we propose a complete detection scheme for Gaussian envelope pulses over k-noise by means of the Wigner-Ville transform (WVT). This scheme is based on the characterisation (definition of a probability density function model) of the WVT of k-noise. The detector consists on two steps. In the first one we propose a Neyman-Pearson test for the isolated points of the WVT. Then we use the time-frequency shape of the searched signal to complete the detection technique. Thus, we propose a simple but robust scheme where probability of false alarm and probability of detection are easily controlled by changing some simple thresholds.","PeriodicalId":415923,"journal":{"name":"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TFSA.1996.547220","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper we propose a complete detection scheme for Gaussian envelope pulses over k-noise by means of the Wigner-Ville transform (WVT). This scheme is based on the characterisation (definition of a probability density function model) of the WVT of k-noise. The detector consists on two steps. In the first one we propose a Neyman-Pearson test for the isolated points of the WVT. Then we use the time-frequency shape of the searched signal to complete the detection technique. Thus, we propose a simple but robust scheme where probability of false alarm and probability of detection are easily controlled by changing some simple thresholds.