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Wavelet transform
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Compared with the Fourier transform, wavelet transform space (time) and the frequency of the local transformation and thus can effectively extract information from the signal. Through scaling and panning function multiscale thinning function or signal can be analyzed, solve the problem of Fourier transform does not resolve many of the difficulties. Wavelet transform contact applied mathematics, physics, computer science, signal and information processing, image processing, seismic exploration, and many other disciplines.
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