{"title":"用加权最小二乘法设计可变分数阶延迟全通滤波器","authors":"C. Tseng","doi":"10.1109/ISCAS.2002.1010803","DOIUrl":null,"url":null,"abstract":"In this paper, a weighted least squares method is presented to design a variable fractional delay allpass filter. First, each coefficient of the variable allpass filter is expressed as the polynomial of the fractional delay parameter. Then, by minimizing the phase approximation error, the optimal polynomial coefficients can be obtained by solving a set of linear simultaneous equations. Finally, the design examples are demonstrated to illustrate the effectiveness of the proposed approach.","PeriodicalId":203750,"journal":{"name":"2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353)","volume":"382 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Design of variable fractional delay allpass filter using weighted least squares method\",\"authors\":\"C. Tseng\",\"doi\":\"10.1109/ISCAS.2002.1010803\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a weighted least squares method is presented to design a variable fractional delay allpass filter. First, each coefficient of the variable allpass filter is expressed as the polynomial of the fractional delay parameter. Then, by minimizing the phase approximation error, the optimal polynomial coefficients can be obtained by solving a set of linear simultaneous equations. Finally, the design examples are demonstrated to illustrate the effectiveness of the proposed approach.\",\"PeriodicalId\":203750,\"journal\":{\"name\":\"2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353)\",\"volume\":\"382 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCAS.2002.1010803\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCAS.2002.1010803","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of variable fractional delay allpass filter using weighted least squares method
In this paper, a weighted least squares method is presented to design a variable fractional delay allpass filter. First, each coefficient of the variable allpass filter is expressed as the polynomial of the fractional delay parameter. Then, by minimizing the phase approximation error, the optimal polynomial coefficients can be obtained by solving a set of linear simultaneous equations. Finally, the design examples are demonstrated to illustrate the effectiveness of the proposed approach.