Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- Acknowledgements
- 1 What Is Fourier Analysis?
- 2 Covariance-Based Approaches
- 3 Fourier Series
- 4 Fourier Transforms
- 5 Using the FFT to Identify Periodic Features in Time-Series
- 6 Constraints on the FFT
- 7 Stationarity and Spectrograms
- 8 Noise in Time-Series
- 9 Periodograms and Significance
- Appendix A DFT Matrices and Symmetries
- Appendix B Simple Spectrogram Code
- Further Reading and Online Resources
- References
- Index
- References
Further Reading and Online Resources
Published online by Cambridge University Press: 01 February 2019
- Frontmatter
- Dedication
- Contents
- Preface
- Acknowledgements
- 1 What Is Fourier Analysis?
- 2 Covariance-Based Approaches
- 3 Fourier Series
- 4 Fourier Transforms
- 5 Using the FFT to Identify Periodic Features in Time-Series
- 6 Constraints on the FFT
- 7 Stationarity and Spectrograms
- 8 Noise in Time-Series
- 9 Periodograms and Significance
- Appendix A DFT Matrices and Symmetries
- Appendix B Simple Spectrogram Code
- Further Reading and Online Resources
- References
- Index
- References
Summary
- Type
- Chapter
- Information
- A Primer on Fourier Analysis for the Geosciences , pp. 170 - 171Publisher: Cambridge University PressPrint publication year: 2019
References
Further Reading and Online Resources
There are many books on Fourier theory and I cannot hope to list even all the introductory ones. This is a list of books that I have used over the years and have found useful – no more or less than that. My advice is to look around and find books that deal with aspects of the subject relevant to you in a manner that is accessible to you – and I hope that this book gives you a starting-point for accessing more advanced texts with confidence.
Online Resources
URL for the R software, documentation and manuals.
The R Project for Statistical Computing, www.r-project.org.
URLs for two comprehensive and accessible online resources I recommend to research students. There are many others to choose from.