Markovian modeling for Bayesian multi-channel deconvolution

Author

Idier, J. ; Goussard, Y.

Author_Institution

Ecole Superieure d´´Electr., Gif-sur-Yvette, France

fYear

1990

fDate

3-6 Apr 1990

Firstpage

2001

Abstract

Two dimensional (2D) Bayesian restoration of layered media and its application to seismic deconvolution are addressed. The Bernoulli-Gaussian (B-G) approach is suboptimal in a 2D setting, since it does not account for spatial continuity. To compensate for this deficiency, a class of Markov random fields which suitably extends 1D Bernoulli processes to two dimensions is built. It provides a manageable model for 2D stratified structures. A maximum a posteriori detection-estimation algorithm is proposed. Compared to standard B-G algorithms, it performs much better, without an increase in computational load

Keywords

Bayes methods; Markov processes; random processes; signal processing; 2D Bayesian multichannel restoration; 2D stratified structures; Markov-Bernoulli random fields; posteriori detection-estimation algorithm; seismic deconvolution; signal processing; Acoustic signal detection; Bayesian methods; Deconvolution; Image restoration; Markov random fields; Nonhomogeneous media; Random variables; Reflectivity; Signal restoration; Uninterruptible power systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Conference_Location

Albuquerque, NM

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1990.115909

Filename

115909