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Titlebook: Wavelets Theory and Its Applications; A First Course Mani Mehra Textbook 2018 Springer Nature Singapore Pte Ltd. 2018 Fourier analysis.Mult

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Applications of Wavelet in Inverse Problemsere are always input and output parameters related to any physical system. If all the parameters were known perfectly, then for a given input, we can predict the output very easily, and this is called . (like advection–diffusion equation and Burgers’ equation discussed in Chap. .).
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Wavelet Transformavelet as window function (.) provides a flexible time–frequency window which automatically narrows when observing high-frequency phenomena and widens when studying low-frequency phenomena. The evolution of wavelet transform is given in Fig. .. Fortunately, it is one of the main properties of wavelet as discussed in Chap. ..
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Wavelet Collocation Methodsf algorithm as compared to wavelet-Galerkin method discussed in previous Chap. .. . Moreover, proofs are easier with Galerkin methods, whereas implementation is more practical with collocation methods. . The wavelet collocation method is most appropriate for solving nonlinear PDEs with general boundary conditions.
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Other Useful Applications of Waveletetc.) which takes its applications to .. There are already good books on signal processing [., .]. Interest in wavelet analysis remained within a small, mainly mathematical community during the rest of the 1980s. The different applications of wavelets in science and engineering really began to take off at the beginning of the 1990s.
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