{"title":"可变分数延迟数字滤波器的优化设计","authors":"T. Deng","doi":"10.1109/SSP.2001.955295","DOIUrl":null,"url":null,"abstract":"This paper presents a closed-form solution for obtaining the optimal coefficients of variable FIR filters with continuously adjustable fractional-delay (FD) response. The design is formulated as a weighted-least-squares (WLS) approximation problem without discretizing the frequency and fractional-delay parameters. Compared with the existing WLS method, the discretization-free one can yield a closed-form optimal solution with considerably reduced computational complexity.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"28 1","pages":"353-356"},"PeriodicalIF":0.0000,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal design of variable fractional-delay digital filters\",\"authors\":\"T. Deng\",\"doi\":\"10.1109/SSP.2001.955295\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a closed-form solution for obtaining the optimal coefficients of variable FIR filters with continuously adjustable fractional-delay (FD) response. The design is formulated as a weighted-least-squares (WLS) approximation problem without discretizing the frequency and fractional-delay parameters. Compared with the existing WLS method, the discretization-free one can yield a closed-form optimal solution with considerably reduced computational complexity.\",\"PeriodicalId\":70952,\"journal\":{\"name\":\"信号处理\",\"volume\":\"28 1\",\"pages\":\"353-356\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"信号处理\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/SSP.2001.955295\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"信号处理","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/SSP.2001.955295","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal design of variable fractional-delay digital filters
This paper presents a closed-form solution for obtaining the optimal coefficients of variable FIR filters with continuously adjustable fractional-delay (FD) response. The design is formulated as a weighted-least-squares (WLS) approximation problem without discretizing the frequency and fractional-delay parameters. Compared with the existing WLS method, the discretization-free one can yield a closed-form optimal solution with considerably reduced computational complexity.
期刊介绍:
Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.