Stack algorithm for recursive deconvolution of Bernoulli-Gaussian processes [seismic exploration]

Author

Idier, Jéröme ; Goussard, Yves

Author_Institution

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

Volume

28

Issue

5

fYear

1990

fDate

9/1/1990 12:00:00 AM

Firstpage

975

Lastpage

978

Abstract

The deconvolution of pulse trains modeled as Bernoulli-Gaussian processes is addressed. The detector presented implements a stack Viterbi algorithm with a parametric level of suboptimality. Simulation results are satisfactory, even in the difficult case of a poor spectral content of the wavelet. The recursive and parallel structure of the method allows fast data processing on modern architectures

Keywords

geophysical prospecting; geophysical techniques; seismology; 0 to 900 ms; Bernoulli-Gaussian processes; broad-band seismic wavelet; fast data processing; narrow-band low-pass wavelet; parametric suboptimality level; pulse trains deconvolution; recursive deconvolution; recursive parallel method; seismic exploration; seismic two-way travel times; sparse spike trains deconvolution; stack Viterbi algorithm; wavelet spectral content; Binary sequences; Computer architecture; Convergence; Covariance matrix; Data processing; Deconvolution; Detectors; Equations; Modems; Signal restoration; Viterbi algorithm;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.58988

Filename

58988