Essentials of Geophysical Data Processing
Essentials of Geophysical Data Processing
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- More about Essentials of Geophysical Data Processing
Geophysical data processing is a textbook for advanced students, researchers, and professionals that covers time series analysis techniques, including calculus, discrete time series, the Fourier transform, and linear digital filters. It is aimed at senior undergraduate and graduate students in geophysics, environmental science, and engineering with no previous background in linear algebra, probability, or statistics. Online supplementary resources include datasets and a solutions manual.
Format: Paperback / softback
Length: 350 pages
Publication date: 21 October 2021
Publisher: Cambridge University Press
A comprehensive guide to geophysical data processing, encompassing a wide range of techniques commonly employed in time series analysis, is presented in this textbook. It is tailored for advanced students, researchers, and professionals seeking to delve into the realm of geophysics. The book begins with a foundational exploration of calculus, paving the way for subsequent chapters that delve into discrete time series. These chapters cover topics such as sampling theorem, aliasing, the utilization of complex sinusoids, the development of the discrete Fourier transform from the Fourier series, and an overview of linear digital filter types and their descriptions.
The primary audience of this textbook consists of senior undergraduate and graduate students in geophysics, environmental science, and engineering, who possess a strong interest in the field but may lack prior exposure to linear algebra, probability, or statistics. To facilitate a seamless understanding of the subject matter, the book employs scenarios and datasets drawn from diverse areas within geophysics. These examples serve as practical illustrations of how data processing techniques can be applied to real-world problems.
To enhance the learning experience, the textbook is accompanied by comprehensive online supplementary resources. These resources include datasets specifically designed for students to practice and experiment with, as well as a solutions manual that provides detailed explanations and answers to all the exercises featured in the book. Additionally, all the figures from the book are available as PowerPoints for course instructors, allowing for easy integration into lectures and presentations.
By offering a comprehensive and accessible introduction to geophysical data processing, this textbook serves as a valuable resource for students, researchers, and professionals seeking to advance their knowledge and expertise in this field. Its rigorous yet accessible approach, coupled with practical examples and supplementary materials, empowers readers to tackle complex geophysical challenges and make meaningful contributions to the scientific community.
Weight: 496g
Dimension: 203 x 254 x 16 (mm)
ISBN-13: 9781108931007
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