DocumentCode
341694
Title
Blind deconvolution by modified Bussgang algorithm
Author
Fiori, Sirnone ; Uncini, Aurelio ; Piazza, Francesco
Author_Institution
Dipt. di Elettronica e Autom., Ancona Univ., Italy
Volume
3
fYear
1999
fDate
36342
Firstpage
1
Abstract
The `Bussgang´ is one of the best known blind deconvolution algorithms. It requires prior knowledge of the source statistics as well as the deconvolution noise characteristics. In this paper we present a first attempt for making the algorithm `more blind´ by replacing the original Bayesian estimator with a flexible parametric function whose parameters adapt through time. To assess the effectiveness of the proposed method, computer simulations are also presented and discussed
Keywords
deconvolution; signal reconstruction; telecommunication channels; transient response; blind deconvolution; computer simulations; deconvolution noise; flexible parametric function; modified Bussgang algorithm; source statistics; Bayesian methods; Computer simulation; Deconvolution; Distortion; Ear; Equalizers; Finite impulse response filter; Gaussian noise; Parametric statistics; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-5471-0
Type
conf
DOI
10.1109/ISCAS.1999.778770
Filename
778770
Link To Document