{"title":"滤波器设计保证了伪线性回归IIR自适应算法的收敛性","authors":"F. Perez-Gonzallez, C. Abdallah","doi":"10.1109/DSP.1994.379883","DOIUrl":null,"url":null,"abstract":"In this paper we design a finite impulse response (FIR) filter to enforce the so-called strictly positive realness (SPR) condition in an adaptive infinite impulse response (IIR) filtering context. The paper results may then be used to guarantee the convergence of pseudolinear regression IIR adaptive algorithms.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Filter design to guarantee convergence of the pseudolinear regression IIR adaptive algorithm\",\"authors\":\"F. Perez-Gonzallez, C. Abdallah\",\"doi\":\"10.1109/DSP.1994.379883\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we design a finite impulse response (FIR) filter to enforce the so-called strictly positive realness (SPR) condition in an adaptive infinite impulse response (IIR) filtering context. The paper results may then be used to guarantee the convergence of pseudolinear regression IIR adaptive algorithms.<<ETX>>\",\"PeriodicalId\":189083,\"journal\":{\"name\":\"Proceedings of IEEE 6th Digital Signal Processing Workshop\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE 6th Digital Signal Processing Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSP.1994.379883\",\"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 IEEE 6th Digital Signal Processing Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSP.1994.379883","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Filter design to guarantee convergence of the pseudolinear regression IIR adaptive algorithm
In this paper we design a finite impulse response (FIR) filter to enforce the so-called strictly positive realness (SPR) condition in an adaptive infinite impulse response (IIR) filtering context. The paper results may then be used to guarantee the convergence of pseudolinear regression IIR adaptive algorithms.<>