DocumentCode :
3138681
Title :
Karhunen-Loeve-like expansions
Author :
Matevosyan, Ashot K.
Author_Institution :
Inst. of Problems of Inf. & Autom., Acad. of Sci., Yerevan, Armenia
fYear :
1995
fDate :
9-10 Jun 1995
Firstpage :
325
Lastpage :
327
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
Keywords :
convergence; iterative methods; signal representation; transforms; Fourier basis; Karhunen-Loeve-like expansions; applied signal processing; best signal approximation; convergence; expansion bases; iterative algorithm; noncorrelated expansion coefficients; optimal orthogonal signal expansion; Automation; Decorrelation; Informatics; Iterative algorithms; Mean square error methods; Pattern recognition; Polynomials; Signal processing; Signal processing algorithms; Signal representations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems, 1995., Proceedings of the Eighth IEEE Symposium on
Conference_Location :
Lubbock, TX
Print_ISBN :
0-8186-7117-3
Type :
conf
DOI :
10.1109/CBMS.1995.465408
Filename :
465408
Link To Document :
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