R. Kanagawa, J. Okello, N. Sasaoka, E. Kuno, Y. Itoh, M. Kobayashi
{"title":"A study on equation error algorithm based on correlation function","authors":"R. Kanagawa, J. Okello, N. Sasaoka, E. Kuno, Y. Itoh, M. Kobayashi","doi":"10.1109/ISCIT.2007.4392023","DOIUrl":null,"url":null,"abstract":"Equation error adaptive algorithm (EQ-E) for adaptive infinite impulse response (IIR) digital filter is one of the IIR adaptive algorithms that exhibit global convergence. In the presence of a color disturbance signal, the coefficients of the equation error based adaptive digital filter (ADF) converge to solutions with bias. In this paper, we propose a kind of block adaptive algorithm for the EQ-E IIR ADF. By estimating the correlation functions, the effect of the disturbance signal onto the convergence of the algorithm is reduced.","PeriodicalId":331439,"journal":{"name":"2007 International Symposium on Communications and Information Technologies","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Symposium on Communications and Information Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCIT.2007.4392023","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
Equation error adaptive algorithm (EQ-E) for adaptive infinite impulse response (IIR) digital filter is one of the IIR adaptive algorithms that exhibit global convergence. In the presence of a color disturbance signal, the coefficients of the equation error based adaptive digital filter (ADF) converge to solutions with bias. In this paper, we propose a kind of block adaptive algorithm for the EQ-E IIR ADF. By estimating the correlation functions, the effect of the disturbance signal onto the convergence of the algorithm is reduced.