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This unique 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.
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Fourier analysis is a mathematical technique for decomposing a signal into identifiable components. It is used in the study of all types of waves. This book explains the basic mathematical theory and some of the principal applications of Fourier analysis in areas ranging from sound and vibration to optics and CAT scanning. The author provides in-depth coverage of the techniques and includes exercises that demonstrate straightforward applications of formulas as well as more complex problems.
Harmonic analysis. Fourier analysis --- Fourier analysis. --- Fourier Analysis.
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Harmonic analysis. Fourier analysis --- Fourier series. --- Series, Orthogonal. --- Summability theory.
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Harmonic analysis. --- Harmonic analysis. Fourier analysis --- Analyse harmonique
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Recent Progress in Fourier Analysis
Harmonic analysis. Fourier analysis --- Fourier analysis --- 517.52 --- 517.52 Series and sequences --- Series and sequences --- Analysis, Fourier --- Mathematical analysis --- Congresses
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Strikingly different from typical presentations, Principles of Fourier Analysis provides an introduction to and comprehensive overview of the mathematical theory of Fourier analysis as it is used in applications in engineering, science, and mathematics. It presents the general results and formulas most useful to those who use Fourier analysis in their work, complete with indications of the limitations of those results and formulas. The author's uniquely accessible approach stimulates readers' understanding and appreciation of the fundamental concepts and helps them develop the ability to handle the more sophisticated mathematics ultimately required by Fourier analysis.
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