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Modern Spectral Analysis with Geophysical Applications
Spectral Analysis and Filter Theory in Applied Geophysics
Author: Burkhard Buttkus
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 665
ISBN-13: 364257016X
DOWNLOAD EBOOK →This 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.
Spectral Analysis in Geophysics
Author: B.M. Båth
Publisher: Elsevier
Published: 2012-12-02
Total Pages: 580
ISBN-13: 0444599983
DOWNLOAD EBOOK →Spectral Analysis in Geophysics
Spectral Analysis for Physical Applications
Author: Donald B. Percival
Publisher: Cambridge University Press
Published: 1993-06-03
Total Pages: 616
ISBN-13: 9780521435413
DOWNLOAD EBOOK →This 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.
Modern Singular Spectral-Based Denoising and Filtering Techniques for 2D and 3D Reflection Seismic Data
Author: R. K. Tiwari
Publisher: Springer Nature
Published: 2020-03-25
Total Pages: 165
ISBN-13: 3030193047
DOWNLOAD EBOOK →This 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.
Spectral Analysis and Filter Theory in Applied Geophysics
Author: Burkhard Buttkus
Publisher: Springer Science & Business Media
Published: 2000-03-27
Total Pages: 698
ISBN-13: 9783540626749
DOWNLOAD EBOOK →This 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.
Spectral Methods in Geodesy and Geophysics
Author: Christopher Jekeli
Publisher: CRC Press
Published: 2016-02-15
Total Pages: 0
ISBN-13: 9781482245257
DOWNLOAD EBOOK →This 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.
Modern spectral analysis methods and their application to wind time domain sampler data at L1
Modern Spectral Estimation
