Information-Based Inversion and Processing with Applications

Author:   T.J. Ulrych (The University of British Columbia, Vancouver, BC, Canada) ,  M.D. Sacchi (The University of Alberta, Edmonton, Alberta, Canada)
Publisher:   Elsevier Science & Technology
Volume:   v. 36
ISBN:  

9780080447216


Pages:   436
Publication Date:   16 December 2005
Format:   Hardback
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

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Information-Based Inversion and Processing with Applications


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Overview

Information-Based Inversion and Processing with Applications examines different classical and modern aspects of geophysical data processing and inversion with emphasis on the processing of seismic records in applied seismology. Chapter 1 introduces basic concepts including: probability theory (expectation operator and ensemble statistics), elementary principles of parameter estimation, Fourier and z-transform essentials, and issues of orthogonality. In Chapter 2, the linear treatment of time series is provided. Particular attention is paid to Wold decomposition theorem and time series models (AR, MA, and ARMA) and their connection to seismic data analysis problems. Chapter 3 introduces concepts of Information theory and contains a synopsis of those topics that are used throughout the book. Examples are entropy, conditional entropy, Burg's maximum entropy spectral estimator, and mutual information. Chapter 4 provides a description of inverse problems first from a deterministic point of view, then from a probabilistic one. Chapter 5 deals with methods to improve the signal-to-noise ratio of seismic records. Concepts from previous chapters are put in practice for designing prediction error filters for noise attenuation and high-resolution Radon operators. Chapter 6 deals with the topic of deconvolution and the inversion of acoustic impedance. The first part discusses band-limited extrapolation assuming a known wavelet and considers the issue of wavelet estimation. The second part deals with sparse deconvolution using various 'entropy' type norms. Finally, Chapter 7 introduces recent topics of interest to the authors. The emphasis of this book is on applied seismology but researchers in the area of global seismology, and geophysical signal processing and inversion will find material that is relevant to the ubiquitous problem of estimating complex models from a limited number of noisy observations.

Full Product Details

Author:   T.J. Ulrych (The University of British Columbia, Vancouver, BC, Canada) ,  M.D. Sacchi (The University of Alberta, Edmonton, Alberta, Canada)
Publisher:   Elsevier Science & Technology
Imprint:   Elsevier Science Ltd
Volume:   v. 36
Dimensions:   Width: 16.50cm , Height: 2.30cm , Length: 24.00cm
Weight:   0.930kg
ISBN:  

9780080447216


ISBN 10:   008044721
Pages:   436
Publication Date:   16 December 2005
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

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Reviews

...beautifully produced and very well referenced...[it] should be available in all technical libraries. -Ronald Green for THE LEADING EDGE


The book is beautifully produced and very well referenced...[it] should be available in all technical libraries. Some readers will feel that they must have the book. All geophysicists should have a look... -Ronald Green for THE LEADING EDGE


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