{"title":"Symmetry-based low-complexity variable fractional-delay FIR filters","authors":"T. Deng","doi":"10.1109/ISCIT.2004.1412478","DOIUrl":null,"url":null,"abstract":"This paper reveals the coefficient symmetry of variable fractional-delay (VFD) finite-impulse-response (FIR) digital filters and shows that the coefficient symmetry can be efficiently exploited in the VFD filter design. Compared with the conventional weighted-least-squares (WLS) design methods without using coefficient symmetry, the proposed symmetry-based WLS method requires only half of the filter coefficients to achieve higher design accuracy. This symmetry exploitation not only significantly reduces the computational complexity required in the design process, but also leads to low-cost implementation.","PeriodicalId":237047,"journal":{"name":"IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCIT.2004.1412478","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
This paper reveals the coefficient symmetry of variable fractional-delay (VFD) finite-impulse-response (FIR) digital filters and shows that the coefficient symmetry can be efficiently exploited in the VFD filter design. Compared with the conventional weighted-least-squares (WLS) design methods without using coefficient symmetry, the proposed symmetry-based WLS method requires only half of the filter coefficients to achieve higher design accuracy. This symmetry exploitation not only significantly reduces the computational complexity required in the design process, but also leads to low-cost implementation.