{"title":"Joint time-frequency adaptive echo canceller with digital signal processor","authors":"S. Zoican","doi":"10.1109/MELCON.2000.880065","DOIUrl":null,"url":null,"abstract":"The paper illustrated a real time implementation of an adaptive echo canceller using the joint time-frequency analysis. Comparing with a classical adaptive echo canceller, which involves an adaptive LMS (or NLMS) filter the joint time-frequency approach involves a number of adaptive filters. The input of each filter is a subsignal derived from original input signal; these subsignals are the coefficients obtained by a joint time-frequency analysis (like Gabor expansion). The advantage is that the subsignals are whitened by the joint time-frequency analysis and therefore the adaptive filters work better.","PeriodicalId":151424,"journal":{"name":"2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MELCON.2000.880065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The paper illustrated a real time implementation of an adaptive echo canceller using the joint time-frequency analysis. Comparing with a classical adaptive echo canceller, which involves an adaptive LMS (or NLMS) filter the joint time-frequency approach involves a number of adaptive filters. The input of each filter is a subsignal derived from original input signal; these subsignals are the coefficients obtained by a joint time-frequency analysis (like Gabor expansion). The advantage is that the subsignals are whitened by the joint time-frequency analysis and therefore the adaptive filters work better.