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Optimal Seismic Deconvolution : an Estimation-Based Approach.

Author: Jerry M Mendel
Publisher: Burlington : Elsevier Science, 2013.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Optimal Seismic Deconvolution: An Estimation-Based Approach presents an approach to the problem of seismic deconvolution. It is meant for two different audiences: practitioners of recursive estimation theory and geophysical signal processors. The book opens with a chapter on elements of minimum-variance estimation that are essential for all later developments. Included is a derivation of the Kaiman filter and  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Mendel, Jerry M.
Optimal Seismic Deconvolution : An Estimation-Based Approach.
Burlington : Elsevier Science, ©2013
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jerry M Mendel
ISBN: 9781483258195 148325819X
OCLC Number: 895433954
Description: 1 online resource (269 pages)
Contents: Front Cover; Optimal Seismic Deconvolution: An Estimation-Based Approach; Copyright Page; Dedication; Table of Contents; Foreword; Preface; Chapter 1. Deconvolution; 1.1. Introduction; 1.2. Some Approaches to Deconvolution; 1.3. State-Variable Models; 1.4. Outline of Book; Appendix A: Introduction to State-Variable Models and Methods; Chapter 2. Minimum-Variance Estimation; 2.1. Introduction; 2.2. Elements of Minimum-Variance Estimation Theory; 2.3. Optimal Prediction; 2.4. Optimal Filtering; 2.5. Optimal Smoothing; 2.6. Final Remark; Chapter 3. Minimum-Variance Deconvolution. 10.2. Maximum-Likelihood Normal Incidence Inversion10.3. Normal Incidence Geooptimal Deconvolution Algorithm; 10.4. Simulation Results; Chapter 11. Epilog; 11.1. Computation; 11.2. Multichannel Deconvolution; 11.3. Tying Well-Log and Seismic Data Together; 11.4. Nonnormal Incidence Geooptimal Deconvolution; 11.5. Recursive Waveshaping; 11.6. Noncausal Impulse Responses; References; Index.

Abstract:

Optimal Seismic Deconvolution: An Estimation-Based Approach presents an approach to the problem of seismic deconvolution. It is meant for two different audiences: practitioners of recursive estimation theory and geophysical signal processors. The book opens with a chapter on elements of minimum-variance estimation that are essential for all later developments. Included is a derivation of the Kaiman filter and discussions of prediction and smoothing. Separate chapters follow on minimum-variance deconvolution; maximum-likelihood and maximum a posteriori estimation methods; the philosophy of maxi.

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