A New Approach to the Blind Deconvolution Problem Based on the Maximum Independency of Signals

DOI

10.2991/emim-16.2016.263How to use a DOI?

Keywords

Blind deconvolution; Measure independence; Objective function; Seismic wavelet; Inverse filter

Abstract

In view of band-limited seismic data with a low dominant frequency and short data records, this paper proposes a new approach to the seismic blind deconvolution problem, a new criterion for blind deconvolution is constructed, by which we can measure the independency of output signals. The optimization program for new criterion of blind deconvolution is performed by applying Neidell’s wavelet model to the inverse filter, which then makes the optimization program for multivariate reduce to univariate case. The proposed method can broaden the spectrum of seismic data effectively resulting in the improved resolution even in the case of band-limited seismic data with a low dominant frequency and short data records. The simulation test and actual seismic data processing results show that the correctness of the method.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Rongrong Wang
AU  - Fei Xu
PY  - 2016/04
DA  - 2016/04
TI  - A New Approach to the Blind Deconvolution Problem Based on the Maximum Independency of Signals
BT  - Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
SP  - 1288
EP  - 1293
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-16.2016.263
DO  - 10.2991/emim-16.2016.263
ID  - Wang2016/04
ER  -