{"title":"复杂FIR数字滤波器和窗口的PCLS优化","authors":"J. L. Sullivan, J.W. Adams","doi":"10.1109/ACSSC.1997.680533","DOIUrl":null,"url":null,"abstract":"Peak-constrained least-squares (PCLS) optimization is a relatively new approach to solving digital filter design problems. Motivations for the PCLS optimality criterion are discussed previously. However, the PCLS examples and design methods proposed by Adams (1991) and Adams, Sullivan and Hashemi (1993) are focused on real symmetric FIR digital filters and windows. In this paper we extend the PCLS approach to the design of complex FIR digital filters and windows.","PeriodicalId":240431,"journal":{"name":"Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"PCLS optimization of complex FIR digital filters and windows\",\"authors\":\"J. L. Sullivan, J.W. Adams\",\"doi\":\"10.1109/ACSSC.1997.680533\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Peak-constrained least-squares (PCLS) optimization is a relatively new approach to solving digital filter design problems. Motivations for the PCLS optimality criterion are discussed previously. However, the PCLS examples and design methods proposed by Adams (1991) and Adams, Sullivan and Hashemi (1993) are focused on real symmetric FIR digital filters and windows. In this paper we extend the PCLS approach to the design of complex FIR digital filters and windows.\",\"PeriodicalId\":240431,\"journal\":{\"name\":\"Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.1997.680533\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.1997.680533","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PCLS optimization of complex FIR digital filters and windows
Peak-constrained least-squares (PCLS) optimization is a relatively new approach to solving digital filter design problems. Motivations for the PCLS optimality criterion are discussed previously. However, the PCLS examples and design methods proposed by Adams (1991) and Adams, Sullivan and Hashemi (1993) are focused on real symmetric FIR digital filters and windows. In this paper we extend the PCLS approach to the design of complex FIR digital filters and windows.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
