{"title":"Karhunen-Loeve-like expansions","authors":"Ashot Matevosyan","doi":"10.1109/CBMS.1995.465408","DOIUrl":null,"url":null,"abstract":"Investigates the problem of the optimal orthogonal signal expansion for providing both the best signal approximation and non-correlated coefficients of expansion. Without the latter condition, the well-known solution of the best signal representation is given by the classical Fourier basis. This additional condition, however, provides Karhunen-Loeve expansion-like properties which are very useful in applied signal processing. Therefore, it is of major practical importance to describe Karhunen-Loeve-like signal expansion bases. We present an iterative algorithm converging to the solution of this this problem. It is also proven that this solution is unique.<<ETX>>","PeriodicalId":254366,"journal":{"name":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.1995.465408","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
Investigates the problem of the optimal orthogonal signal expansion for providing both the best signal approximation and non-correlated coefficients of expansion. Without the latter condition, the well-known solution of the best signal representation is given by the classical Fourier basis. This additional condition, however, provides Karhunen-Loeve expansion-like properties which are very useful in applied signal processing. Therefore, it is of major practical importance to describe Karhunen-Loeve-like signal expansion bases. We present an iterative algorithm converging to the solution of this this problem. It is also proven that this solution is unique.<>