{"title":"最小相位FIR模型自适应设计方法的比较","authors":"J. L. Rasmussen, D. Etter","doi":"10.1109/ACSSC.1993.342371","DOIUrl":null,"url":null,"abstract":"Given a set of filters with the same magnitude response, the minimum phase filter is the one with the minimum phase lag. This filter will also have the minimum group delay and the minimum energy delay. Obtaining the minimum phase FIR estimate of an unknown system is a constrained optimization problem because the zeros of the model must be constrained to be within the unit circle. The authors compare several structures for adaptively obtaining the optimum FIR minimum phase filter model for an unknown FIR system.<<ETX>>","PeriodicalId":266447,"journal":{"name":"Proceedings of 27th Asilomar Conference on Signals, Systems and Computers","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A comparison of methods for adaptively designing minimum phase FIR models\",\"authors\":\"J. L. Rasmussen, D. Etter\",\"doi\":\"10.1109/ACSSC.1993.342371\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Given a set of filters with the same magnitude response, the minimum phase filter is the one with the minimum phase lag. This filter will also have the minimum group delay and the minimum energy delay. Obtaining the minimum phase FIR estimate of an unknown system is a constrained optimization problem because the zeros of the model must be constrained to be within the unit circle. The authors compare several structures for adaptively obtaining the optimum FIR minimum phase filter model for an unknown FIR system.<<ETX>>\",\"PeriodicalId\":266447,\"journal\":{\"name\":\"Proceedings of 27th Asilomar Conference on Signals, Systems and Computers\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 27th Asilomar Conference on Signals, Systems and Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.1993.342371\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 27th Asilomar Conference on Signals, Systems and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.1993.342371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comparison of methods for adaptively designing minimum phase FIR models
Given a set of filters with the same magnitude response, the minimum phase filter is the one with the minimum phase lag. This filter will also have the minimum group delay and the minimum energy delay. Obtaining the minimum phase FIR estimate of an unknown system is a constrained optimization problem because the zeros of the model must be constrained to be within the unit circle. The authors compare several structures for adaptively obtaining the optimum FIR minimum phase filter model for an unknown FIR system.<>