Time Series Data Analysis in Oceanography
eBook - PDF

Time Series Data Analysis in Oceanography

Applications using MATLAB

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Time Series Data Analysis in Oceanography

Applications using MATLAB

About this book

Chunyan Li is a course instructor with many years of experience in teaching about time series analysis. His book is essential for students and researchers in oceanography and other subjects in the Earth sciences, looking for a complete coverage of the theory and practice of time series data analysis using MATLAB. This textbook covers the topic's core theory in depth, and provides numerous instructional examples, many drawn directly from the author's own teaching experience, using data files, examples, and exercises. The book explores many concepts, including time; distance on Earth; wind, current, and wave data formats; finding a subset of ship-based data along planned or random transects; error propagation; Taylor series expansion for error estimates; the least squares method; base functions and linear independence of base functions; tidal harmonic analysis; Fourier series and the generalized Fourier transform; filtering techniques: sampling theorems: finite sampling effects; wavelet analysis; and EOF analysis.

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Yes, you can access Time Series Data Analysis in Oceanography by Chunyan Li in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Oceanography. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Contents
  6. Preface
  7. Acknowledgments
  8. 1 Introduction
  9. 2 Introduction to MATLAB
  10. 3 Time and MATLAB Functions for Time
  11. 4 Deterministic and Random Functions
  12. 5 Error and Variability Propagation
  13. 6 Taylor Series Expansion and Application in Error Estimate
  14. 7 Spherical Trigonometry and Distance Computation
  15. 8 A System of Linear Equations and Least Squares Method
  16. 9 Base Functions and Linear Independence
  17. 10 Generic Least Squares Method and Orthogonal Functions
  18. 11 Harmonic Analysis of Tide
  19. 12 Fourier Series
  20. 13 Fourier Transform
  21. 14 Discrete Fourier Transform and Fast Fourier Transform
  22. 15 Properties of Fourier Transform
  23. 16 More Discussion on the Harmonic Analysis and Fourier Analysis
  24. 17 Effect of Finite Sampling
  25. 18 Power Spectrum, Cospectrum, and Coherence
  26. 19 Window Functions for Reducing Side Lobes
  27. 20 Convolution, Filtering with the Window Method
  28. 21 Digital Filters: FIR and IIR Filters
  29. 22 Rotary Spectrum Analysis
  30. 23 Short-Time Fourier Transform and Introduction to Wavelet Analysis
  31. 24 Empirical Orthogonal Function Analysis
  32. References
  33. Index