Essentials of Geophysical Data Processing
Cambridge University Press, 10/21/2021
EAN 9781108931007, ISBN10: 1108931006
Paperback, 202 pages, 25.4 x 20.3 x 1.2 cm
Language: English
Originally published in English
A concise introduction to geophysical data processing - many of the techniques associated with the general field of time series analysis - for advanced students, researchers, and professionals. The textbook begins with calculus before transitioning to discrete time series via the sampling theorem, aliasing, use of complex sinusoids, development of the discrete Fourier transform from the Fourier series, and an overview of linear digital filter types and descriptions. Aimed at senior undergraduate and graduate students in geophysics, environmental science, and engineering with no previous background in linear algebra, probability, or statistics, this textbook draws scenarios and datasets from across the world of geophysics, and shows how data processing techniques can be applied to real-world problems using detailed examples, illustrations, and exercises (using MATLAB or similar computing environment). Online supplementary resources include datasets for students, and a solutions manual and all the figures from the book as PowerPoints for course instructors.
Preface
1. An Introduction With Geophysical Time Series Examples
2. Analog Signals and Digital Time Series
3. Sinusoids and Fourier Series
4. The Discrete Fourier Transform
5. Linear Systems and Digital Filters
6. Convolution and Related Theorems
7. Least Squares
8. Linear Filter Design
9. Least Square and Correlation Filters
10. Power and Coherence Spectra
Appendix A. Matrices and Vectors
Appendix B. Fourier Transforms of Continuous Functions
Appendix C. Random Variable Concepts and Applications
Appendix D. Further Reading
Index.