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Wavelet Filtering with the Mellin Transform

2001/08/20 by Gerald Kaiser
Physics and Astronomy · Mathematics · #math-ph #math.FA #math.MP #msc:44-XX #msc:41-XX

paper · pdf

published as Applied Mathematics Letters 9 #5, 1996 · 8 pages in Plain Tex

arxiv created 2001/08/20 · arxiv updated 2009/11/30

Abstract

It is shown that any convolution operator in the time domain can be represented exactly as a multiplication operator in the time-scale (wavelet) domain. The Mellin transform gives a one-to-one correspondence between frequency filters (multiplications in the frequency domain) and scale filters (multiplications in the scale domain), subject to the convergence of the defining integrals. The usual wavelet reconstruction theorem is a special case. Applications to the denoising of random signals are proposed. It is argued that the present method is more suitable for removing the effects of atmospheric turbulence than the conventional procedures because it is ideally suited for resolving spectral power laws.

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