{"title":"基于时频分布的盲源分离对比函数","authors":"A. Belouchrani, K. Abed-Meraim","doi":"10.1109/ISCCSP.2004.1296216","DOIUrl":null,"url":null,"abstract":"This paper introduces new source separation techniques exploiting the time frequency signatures of the source signals. The proposed approach relies on time frequency distributions (TFD). Two TFD-based contrast functions are presented for non stationary sources. Iterative algorithms using the relative gradient technique are used to optimize the proposed contrast functions and perform the source separation.","PeriodicalId":146713,"journal":{"name":"First International Symposium on Control, Communications and Signal Processing, 2004.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Contrast functions for blind source separation based on time frequency distributions\",\"authors\":\"A. Belouchrani, K. Abed-Meraim\",\"doi\":\"10.1109/ISCCSP.2004.1296216\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces new source separation techniques exploiting the time frequency signatures of the source signals. The proposed approach relies on time frequency distributions (TFD). Two TFD-based contrast functions are presented for non stationary sources. Iterative algorithms using the relative gradient technique are used to optimize the proposed contrast functions and perform the source separation.\",\"PeriodicalId\":146713,\"journal\":{\"name\":\"First International Symposium on Control, Communications and Signal Processing, 2004.\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First International Symposium on Control, Communications and Signal Processing, 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCCSP.2004.1296216\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First International Symposium on Control, Communications and Signal Processing, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCCSP.2004.1296216","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Contrast functions for blind source separation based on time frequency distributions
This paper introduces new source separation techniques exploiting the time frequency signatures of the source signals. The proposed approach relies on time frequency distributions (TFD). Two TFD-based contrast functions are presented for non stationary sources. Iterative algorithms using the relative gradient technique are used to optimize the proposed contrast functions and perform the source separation.
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