{"title":"使用频率编码和时频平面进行信号滤波","authors":"M. J. Arnold, M. Roessgen, B. Boashash","doi":"10.1109/ACSSC.1993.342370","DOIUrl":null,"url":null,"abstract":"A novel technique for filtering a real signal is presented. The method is based upon encoding the signal as an instantaneous frequency (IF) and using IF analysis techniques to recover a filtered version of it. A general iterative time-frequency peak filtering (TFPF) scheme based on this method is formulated. Simulations are given which show extremely clean recovery of signals in noise levels down to -9 dB. Applications to estimating the polynomial phase coefficients of nonstationary signals and differentiating noisy signals are presented.<<ETX>>","PeriodicalId":266447,"journal":{"name":"Proceedings of 27th Asilomar Conference on Signals, Systems and Computers","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Signal filtering using frequency encoding and the time-frequency plane\",\"authors\":\"M. J. Arnold, M. Roessgen, B. Boashash\",\"doi\":\"10.1109/ACSSC.1993.342370\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel technique for filtering a real signal is presented. The method is based upon encoding the signal as an instantaneous frequency (IF) and using IF analysis techniques to recover a filtered version of it. A general iterative time-frequency peak filtering (TFPF) scheme based on this method is formulated. Simulations are given which show extremely clean recovery of signals in noise levels down to -9 dB. Applications to estimating the polynomial phase coefficients of nonstationary signals and differentiating noisy signals are presented.<<ETX>>\",\"PeriodicalId\":266447,\"journal\":{\"name\":\"Proceedings of 27th Asilomar Conference on Signals, Systems and Computers\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 27th Asilomar Conference on Signals, Systems and Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.1993.342370\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 27th Asilomar Conference on Signals, Systems and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.1993.342370","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Signal filtering using frequency encoding and the time-frequency plane
A novel technique for filtering a real signal is presented. The method is based upon encoding the signal as an instantaneous frequency (IF) and using IF analysis techniques to recover a filtered version of it. A general iterative time-frequency peak filtering (TFPF) scheme based on this method is formulated. Simulations are given which show extremely clean recovery of signals in noise levels down to -9 dB. Applications to estimating the polynomial phase coefficients of nonstationary signals and differentiating noisy signals are presented.<>
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