DocumentCode :
1440571
Title :
Weighted least-squares blind deconvolution of non-minimum phase systems
Author :
Fiori, S. ; Maiolini, G.
Author_Institution :
Neural Networks & Adaptive Syst. Res. Group, Perugia Univ., Italy
Volume :
147
Issue :
6
fYear :
2000
fDate :
12/1/2000 12:00:00 AM
Firstpage :
557
Lastpage :
563
Abstract :
A new algorithm based on a weighted least-squares technique is proposed that allows online deconvolution of non-minimum phase systems with neither knowledge of the system´s impulse response nor source statistics except for source signal moments up to the fourth order. Using computer simulations and computational complexity evaluation, the authors illustrate and compare the performances and the features of the proposed method with those of other techniques found in the literature
Keywords :
computational complexity; deconvolution; least squares approximations; computational complexity; nonminimum phase systems; online deconvolution; performance; source signal moments; weighted least-squares blind deconvolution;
fLanguage :
English
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
Publisher :
iet
ISSN :
1350-245X
Type :
jour
DOI :
10.1049/ip-vis:20000695
Filename :
903326
Link To Document :
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