{"title":"Exact recursive least squares algorithms for ARMA modeling","authors":"S. Prasad, S. Joshi","doi":"10.1109/ICASSP.1987.1169813","DOIUrl":null,"url":null,"abstract":"The present paper aims to present an entirely new approach for the development of \"exact\" recursive least squares algorithms for ARMA filtering and modeling when the inputs (asssumed here to be \"white\") are not observable. The approach is heavily based on the recently proposed \"predictor-space\" representation of ARMA processes 131 and theu se of some new, moreg eneral projection operator update formulas, breifly summarized here.","PeriodicalId":140810,"journal":{"name":"ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1987-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1987.1169813","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The present paper aims to present an entirely new approach for the development of "exact" recursive least squares algorithms for ARMA filtering and modeling when the inputs (asssumed here to be "white") are not observable. The approach is heavily based on the recently proposed "predictor-space" representation of ARMA processes 131 and theu se of some new, moreg eneral projection operator update formulas, breifly summarized here.