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