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Titlebook: Mathematical Principles of Signal Processing; Fourier and Wavelet Pierre Brémaud Textbook 2002 Springer Science+Business Media New York 20

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Pierre Brémaudcidates the nature of “the lived body”, which is thought to exist as a kind of post-Kantian a priori, whose flesh knits human bodies together within a world. This body is a synthetic form capable of creating unity out of multiple sensations, but also capable of generating differentiations in its rel
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Fourier Transforms of Stable Signalsulus mentioned in the introduction. Besides linearity, the toolbox of this calculus contains the differentiation rule and the convolution—multiplication rule. The general problem of recovering a function from its Fourier transform then receives a partial answer that will be completed by the results
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Fourier Series of Locally Stable Periodic Signalst applicable. The relevant notion is that of Fourier series. (Note that Fourier series were introduced before Fourier transforms, in contrast with the order of appearance chosen in this text.) The elementary theory of Fourier series of this section is parallel to the elementary theory of Fourier tra
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Pointwise Convergence of Fourier SeriesMoreover, this condition implies that the function itself is almost everywhere equal to a continuous function. In this section, the class of functions for which the inversion formula holds is extended.
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Fourier Transforms of Finite Energy Signalstheorem for stable signals as it is. However, there is a version of this inversion formula that applies to all finite-energy functions (for instance, the rectangular pulse). The analysis becomes slightly more involved, and we will have to use the framework of Hilbert spaces. This is largely compensa
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The Wavelet Transformcy issue of Fourier analysis. The role played in the windowed Fourier transform by the family of functions .is played in the wavelet transform (WT) by a family .where .(.) is called the .. The function .. is obtained from the mother wavelet . by successively applying a change of time scale (accompan
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