Time Series Data Analysis in Oceanography: Applications using MATLAB
Time Series Data Analysis in Oceanography: Applications using MATLAB
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Chunyan Li's book is a comprehensive guide to time series analysis using MATLAB, covering core theory and providing instructional examples with data files and exercises. It explores concepts such as time, distance, wind, current, wave data formats, error propagation, Taylor series expansion, least squares method, base functions, linear independence, tidal harmonic analysis, Fourier series, filtering techniques, sampling theorems, wavelet analysis, and EOF analysis.
Format: Hardback
Length: 300 pages
Publication date: 05 May 2022
Publisher: Cambridge University Press
Chunyan Li, a highly experienced course instructor, has dedicated his career to teaching the intricate aspects of time series analysis. His invaluable book serves as a crucial resource for students and researchers in oceanography and other Earth sciences disciplines, seeking a comprehensive understanding of the theory and practical application of time series data analysis using MATLAB. This comprehensive textbook delves into the core principles of time series analysis, offering a wealth of instructional examples, many of which are drawn directly from the author's extensive teaching experience. These examples are accompanied by data files, illustrations, and exercises, ensuring a hands-on approach to learning. The book explores a wide range of concepts, encompassing time, distance on Earth, wind, current, and wave data formats, as well as the techniques for finding subsets of ship-based data along planned or random transects. It also covers error propagation, Taylor series expansion for error estimates, the least squares method, base functions, linear independence, tidal harmonic analysis, Fourier series, the generalized Fourier transform, filtering techniques, sampling theorems, finite sampling effects, wavelet analysis, and EOF analysis. By comprehensively covering these topics, the book equips readers with the knowledge and skills necessary to analyze and interpret time series data effectively, making it an essential tool for anyone interested in this field.
ISBN-13: 9781108474276
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