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Digital Fourier Analysis: Advanced Techniques / by Ken'iti Kido.

Springer Nature - Springer Physics and Astronomy (R0) eBooks 2015 English International Available online

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Format:
Book
Author/Creator:
Kido, Ken'iti., Author.
Language:
English
Subjects (All):
Physics.
Applied mathematics.
Engineering mathematics.
Numerical analysis.
Fourier analysis.
Mathematical Methods in Physics.
Mathematical and Computational Engineering.
Numeric Computing.
Fourier Analysis.
Local Subjects:
Mathematical Methods in Physics.
Mathematical and Computational Engineering.
Numeric Computing.
Fourier Analysis.
Physical Description:
1 online resource (XIII, 178 p. 100 illus. in color.)
Edition:
1st ed. 2015.
Place of Publication:
New York, NY : Springer New York : Imprint: Springer, 2015.
Language Note:
English
Summary:
This textbook is a thorough, accessible introduction to advanced digital Fourier analysis for advanced undergraduate and graduate 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 - Advanced Techniques" 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 - Advanced Techniques" is an essential reference for students in science and engineering.
Contents:
Convolution
Correlation function
Cross-spectrum method
Cepstrum analysis
Hilbert transform
2-D transform
Appendices.
Notes:
Bibliographic Level Mode of Issuance: Monograph
Description based on publisher supplied metadata and other sources.
ISBN:
1-4939-1127-9
OCLC:
1078995622

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