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A First Course in Fourier Analysis

This book introduces applied mathematics through Fourier analysis, with applications to studying sampling theory, PDEs, probability, diffraction, musical tones, and wavelets.

David W. Kammler (Author)

9780521709798, Cambridge University Press

Paperback, published 17 January 2008

862 pages, 211 b/w illus. 3 tables 545 exercises
24.4 x 17.8 x 4.3 cm, 1.47 kg

This book provides a meaningful resource for applied mathematics through Fourier analysis. It develops a unified theory of discrete and continuous (univariate) Fourier analysis, the fast Fourier transform, and a powerful elementary theory of generalized functions and shows how these mathematical ideas can be used to study sampling theory, PDEs, probability, diffraction, musical tones, and wavelets. The book contains an unusually complete presentation of the Fourier transform calculus. It uses concepts from calculus to present an elementary theory of generalized functions. FT calculus and generalized functions are then used to study the wave equation, diffusion equation, and diffraction equation. Real-world applications of Fourier analysis are described in the chapter on musical tones. A valuable reference on Fourier analysis for a variety of students and scientific professionals, including mathematicians, physicists, chemists, geologists, electrical engineers, mechanical engineers, and others.

1. Fourier's representation for functions on R, Tp, Z, and PN
2. Convolution of functions on R, Tp, Z and PN
3. The calculus for finding Fourier transforms of functions of R
4. The calculus for finding Fourier transforms of functions of Tp, Z, and PN
5. Operator identities associated with Fourier analysis
6. The fast Fourier transform
7. Generalized functions on R
8. Sampling
9. Partial differential equations
10. Wavelets
11. Musical tones
12. Probability
Appendix 0. The impact of Fourier analysis
Appendix 1. Functions and their Fourier transforms
Appendix 2. The Fourier transform calculus
Appendix 3. Operators and their Fourier transforms
Appendix 4. The Whittaker-Robinson flow chart for harmonic analysis
Appendix 5. FORTRAN code for a Radix 2 FFT
Appendix 6. The standard normal probability distribution
Appendix 7. Frequencies of the piano keyboard
Index.

Subject Areas: Maths for engineers [TBJ], Maths for scientists [PDE], Calculus & mathematical analysis [PBK]

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