{"title":"Efficient matrix multiplication methods to implement a near-optimum channel shortening method for discrete multitone transceivers","authors":"J. Wu, G. Arslan, B. Evans","doi":"10.1109/ACSSC.2000.910934","DOIUrl":null,"url":null,"abstract":"The minimum intersymbol interference (min-ISI) method yields time-domain equalizer (TEQ) designs for discrete multitone (DMT) modulation transceivers that are close to channel capacity. For eight standard ADSL channels, the min-ISI design method reaches within 1% of the matched filter bound at the TEQ output. However, the min-ISI method relies several computationally expensive matrix multiplications. We develop low-complexity algorithms for these multiplications to allow for real-time implementation of the min-ISI method on programmable digital signal processors.","PeriodicalId":10581,"journal":{"name":"Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154)","volume":"37 1","pages":"152-157 vol.1"},"PeriodicalIF":0.0000,"publicationDate":"2000-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.2000.910934","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
The minimum intersymbol interference (min-ISI) method yields time-domain equalizer (TEQ) designs for discrete multitone (DMT) modulation transceivers that are close to channel capacity. For eight standard ADSL channels, the min-ISI design method reaches within 1% of the matched filter bound at the TEQ output. However, the min-ISI method relies several computationally expensive matrix multiplications. We develop low-complexity algorithms for these multiplications to allow for real-time implementation of the min-ISI method on programmable digital signal processors.
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