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Fourier Analysis and Applications: Filtering, Numerical Computation, Wavelets

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The object of this book is two-fold -- on the one hand it conveys to mathematical readers a rigorous presentation and exploration of the important applications of analysis leading to numerical calculations. On the other hand, it presents physics readers with a body of theory in which the well-known formulae find their justification. The basic study of fundamental notions, such as Lebesgue integration and theory of distribution, allow the establishment of the following Fourier analysis and convolution Filters and signal analysis time-frequency analysis (gabor transforms and wavelets). The whole is rounded off with a large number of exercises as well as selected worked-out solutions.

Hardcover

First published November 6, 1998

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January 29, 2024
Schwartz space is dense in L^2

Convolution theorem is valid on L^2 (23.2.1)
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