DocumentCode
1278901
Title
A general polynomial solution to the MMSE deconvolution problem
Author
Chisci, L. ; Mosca, E.
Author_Institution
Dipartimento di Sistemi e Inf., Firenze Univ., Italy
Volume
39
Issue
4
fYear
1991
fDate
4/1/1991 12:00:00 AM
Firstpage
962
Lastpage
965
Abstract
It is shown that, in order to solve the minimum mean-square error (MMSE) deconvolution problem under general conditions, two coupled polynomial equations must be used. This is constructively proved by satisfying both the orthogonality principle and mean-square boundedness of the estimation error
Keywords
estimation theory; filtering and prediction theory; polynomials; MMSE deconvolution problem; estimation error; filtering; general polynomial solution; mean-square boundedness; minimum mean-square error; orthogonality principle; Adaptive algorithm; Adaptive signal processing; Deconvolution; Equations; Least squares approximation; Polynomials; Signal processing algorithms; Smoothing methods; Speech processing; Statistics;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.80923
Filename
80923
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