Near optimal blind deconvolution

Author

Bellini, Sandro ; Rocca, Fabio

Author_Institution

Dept. of Electron., Milan Polytech., Italy

fYear

1988

fDate

11-14 Apr 1988

Firstpage

2236

Abstract

A solution is proposed for blind deconvolution problems, i.e. the estimation of the impulse response of an unknown discrete-time channel given the output data sequence and statistical information on the input sequence. The solution approaches the optimal one when the input sequence is independent and identically distributed and the channel distortion is small. Numerical results are given in the case of the optimal nonlinear function, which depends on the input probability density function, and in the case of the very simple sign function. The technique can be used iteratively if the distortion is not small

Keywords

linear systems; probability; signal processing; statistical analysis; telecommunication channels; channel distortion; impulse response estimation; input probability density function; linear systems; near optimal blind deconvolution; optimal nonlinear function; output data sequence; signal processing; statistical information; unknown discrete-time channel; Acoustic distortion; Convergence; Data analysis; Deconvolution; Filters; Linear systems; Nonlinear distortion; Probability density function; Random variables; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Conference_Location

New York, NY

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1988.197081

Filename

197081