DocumentCode
1523242
Title
Blind deconvolution by spectral weighted least-squares technique
Author
Fiori, S.
Author_Institution
Dipartimento di Elettronica e Autom., Ancona Univ., Italy
Volume
35
Issue
10
fYear
1999
fDate
5/13/1999 12:00:00 AM
Firstpage
776
Lastpage
777
Abstract
A new algorithm is presented for blind deconvolution of non-minimum phase systems. It is based on the gradient minimisation of a criterion designed as the weighted square of the difference between two statistical spectra. Its main advantages are that it does not require signal preprocessing (such as spectral prewhitening) nor source information, except for statistics up to the fourth-order, and has a high convergence speed and fairly limited computational requirements
Keywords
convergence of numerical methods; deconvolution; least squares approximations; blind deconvolution; gradient minimisation; high convergence speed; least-squares technique; nonminimum phase systems; spectral weighted LS technique; statistical spectra;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19990535
Filename
771410
Link To Document