This book is intended to be an introduction to the fundamentals and methods of spectral analysis and filter theory and their appli- cations in geophysics. The principles and theoretical basis of the various methods are described, their efficiency and effectiveness eval- uated, and instructions provided for their practical application. Be- sides the conventional methods, newer methods arediscussed, such as the spectral analysis ofrandom processes by fitting models to the ob- served data, maximum-entropy spectral analysis and ...
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This book is intended to be an introduction to the fundamentals and methods of spectral analysis and filter theory and their appli- cations in geophysics. The principles and theoretical basis of the various methods are described, their efficiency and effectiveness eval- uated, and instructions provided for their practical application. Be- sides the conventional methods, newer methods arediscussed, such as the spectral analysis ofrandom processes by fitting models to the ob- served data, maximum-entropy spectral analysis and maximum-like- lihood spectral analysis, the Wiener and Kalman filtering methods, homomorphic deconvolution, and adaptive methods for nonstation- ary processes. Multidimensional spectral analysis and filtering, as well as multichannel filters, are given extensive treatment. The book provides a survey of the state-of-the-art of spectral analysis and fil- ter theory. The importance and possibilities ofspectral analysis and filter theory in geophysics for data acquisition, processing and eval- uation are illustrated with practical examples from various fields of applied geophysics. Although this book was planned primarily as a textbook for a course on the analysis of geophysical time- series, it may also be of interest to scientists and engineers who process other digital data. It provides a comprehensive discussion of the theoretical fundamen- tals and a compilation of the extensive literature on the subject. I hope that I have succeeded in presenting the various principles and methods of time-series analysis comprehensively and without error. Comments on errors or suggestions for improvements are welcome.
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