Overview
- Presents advanced subjects in Fourier analysis -- including cross-correlation, cepstrum analysis and the Hilbert transform -- in a clearly illustrated, accessible manner
- Interactive animated applets, freely available online, richly illustrate the book and allow the reader to explore the subject dynamically
- Practice problems are included at the end of each chapter
- A large number of Appendices provide more detailed derivations and explanations for the interested reader
- Includes supplementary material: sn.pub/extras
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Table of contents (6 chapters)
Keywords
About this book
This textbook is a thorough, accessible introduction to advanced digital Fourier analysis for advanced students. Assuming knowledge of the Fast Fourier Transform, this book covers advanced topics including the Hilbert transform, cepstrum analysis and the two-dimensional Fourier transform.
Saturated with clear, coherent illustrations, "Digital Fourier Analysis: Volume 2" includes practice problems and thorough Appendices. As a central feature, the book includes interactive applets (available online) that mirror the illustrations. These user-friendly applets animate concepts interactively, allowing the user to experiment with the underlying mathematics. The applet source code in Visual Basic is provided online, enabling advanced students to tweak and change the programs for more sophisticated results.
A complete, intuitive guide, "Digital Fourier Analysis, Volume 2" is an essential reference for students in science and engineering.
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Bibliographic Information
Book Title: Digital Fourier Analysis: Advanced Techniques
Authors: Ken'iti Kido
DOI: https://doi.org/10.1007/978-1-4939-1127-1
Publisher: Springer New York, NY
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2015
Softcover ISBN: 978-1-4939-1126-4
eBook ISBN: 978-1-4939-1127-1
Edition Number: 1
Number of Pages: XIII, 178
Number of Illustrations: 100 illustrations in colour
Topics: Mathematical Methods in Physics, Mathematical and Computational Engineering, Numeric Computing, Fourier Analysis