Modern Spectral Analysis with Geophysical Applications
Author: Markus Båth
Publisher:
Published: 1995
Total Pages: 544
ISBN-13:
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Author: Markus Båth
Publisher:
Published: 1995
Total Pages: 544
ISBN-13:
DOWNLOAD EBOOKAuthor: Markus Båth
Publisher:
Published: 1992
Total Pages: 518
ISBN-13:
DOWNLOAD EBOOKAuthor: Burkhard Buttkus
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 665
ISBN-13: 364257016X
DOWNLOAD EBOOKThis state-of-the-art survey serves as a complete overview of the subject. Besides the principles and theoretical foundations, emphasis is laid on practical applicability -- describing not only classical methods, but also modern developments and their applications. Students, researchers and practitioners, especially in the fields of data registration, treatment and evaluation, will find this a wealth of information.
Author: B.M. Båth
Publisher: Elsevier
Published: 2012-12-02
Total Pages: 580
ISBN-13: 0444599983
DOWNLOAD EBOOKSpectral Analysis in Geophysics
Author: R. K. Tiwari
Publisher: Springer Nature
Published: 2020-03-25
Total Pages: 165
ISBN-13: 3030193047
DOWNLOAD EBOOKThis book discusses the latest advances in singular spectrum-based algorithms for seismic data processing, providing an update on recent developments in this field. Over the past few decades, researchers have extensively studied the application of the singular spectrum-based time and frequency domain eigen image methods, singular spectrum analysis (SSA) and multichannel SSA for various geophysical data. This book addresses seismic reflection signals, which represent the amalgamated signals of several unwanted signals/noises, such as ground roll, diffractions etc. Decomposition of such non-stationary and erratic field data is one of the multifaceted tasks in seismic data processing. This volume also includes comprehensive methodological and parametric descriptions, testing on appropriately generated synthetic data, as well as comparisons between time and frequency domain algorithms and their applications to the field data on 1D, 2D, 3D and 4D data sets. Lastly, it features an exclusive chapter with MATLAB coding for SSA.
Author: Donald B. Percival
Publisher: Cambridge University Press
Published: 1993-06-03
Total Pages: 616
ISBN-13: 9780521435413
DOWNLOAD EBOOKThis book is an up-to-date introduction to univariate spectral analysis at the graduate level, which reflects a new scientific awareness of spectral complexity, as well as the widespread use of spectral analysis on digital computers with considerable computational power. The text provides theoretical and computational guidance on the available techniques, emphasizing those that work in practice. Spectral analysis finds extensive application in the analysis of data arising in many of the physical sciences, ranging from electrical engineering and physics to geophysics and oceanography. A valuable feature of the text is that many examples are given showing the application of spectral analysis to real data sets. Special emphasis is placed on the multitaper technique, because of its practical success in handling spectra with intricate structure, and its power to handle data with or without spectral lines. The text contains a large number of exercises, together with an extensive bibliography.
Author: Christopher Jekeli
Publisher: CRC Press
Published: 2016-02-15
Total Pages: 0
ISBN-13: 9781482245257
DOWNLOAD EBOOKThis book provides a rigorous treatment of spectral analysis using Fourier-based techniques in the geosciences, specifically geodesy and geophysics that deal with global and regional spatial data. It emphasizes spatial -frequency analysis for data on the plane and sphere. It includes applications to stochastic processes on the plane and sphere, which are important for many estimation problems that are based on some kind of stochastic constraints in inverse theory. It also briefly outlines wavelet analysis, although unusual, it is included to illustrate the contrast to traditional spectral analysis, going more toward a time-frequency analysis.
Author: Steven M. Kay
Publisher:
Published: 1988
Total Pages: 574
ISBN-13:
DOWNLOAD EBOOKAuthor: Burkhard Buttkus
Publisher: Springer Science & Business Media
Published: 2000-03-27
Total Pages: 698
ISBN-13: 9783540626749
DOWNLOAD EBOOKThis state-of-the-art survey serves as a complete overview of the subject. Besides the principles and theoretical foundations, emphasis is laid on practical applicability -- describing not only classical methods, but also modern developments and their applications. Students, researchers and practitioners, especially in the fields of data registration, treatment and evaluation, will find this a wealth of information.
Author: T.J. Ulrych
Publisher: Elsevier
Published: 2005-12-16
Total Pages: 437
ISBN-13: 0080461344
DOWNLOAD EBOOKInformation-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. - Non-conventional approaches to data processing and inversion are presented - Important problems in the area of seismic resolution enhancement are discussed - Contains research material that could inspire graduate students and their supervisors to undertake new research directions in applied seismology and geophysical signal processing