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
fDate :
4/1/1991 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
