Title :
Blind deconvolution by modified Bussgang algorithm
Author :
Fiori, Sirnone ; Uncini, Aurelio ; Piazza, Francesco
Author_Institution :
Dipt. di Elettronica e Autom., Ancona Univ., Italy
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;
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
DOI :
10.1109/ISCAS.1999.778770
