Accession Number : ADA239642
Title : The Discrete Wavelet Transform
Descriptive Note : Technical rept. Jan-Dec 90,
Corporate Author : NAVAL OCEAN SYSTEMS CENTER SAN DIEGO CA
Personal Author(s) : Shensa, M. J.
Full Text : http://www.dtic.mil/get-tr-doc/pdf?AD=ADA239642
Report Date : JUN 1991
Pagination or Media Count : 57
Abstract : In a general sense, this report represents an effort to clarify the relationship of discrete and continuous wavelet transforms. More narrowly, it focuses on bringing together two separately motivated implementations of the wavelet transform, the algorithm a trous and Mallat's multiresolution decomposition. These algorithms are special cases of a single filter bank structure, the discrete wavelet transform, the behavior of which is governed by one's choice of filters. In fact, the a trous algorithm, originally devised as a computationally efficient implementation, is more properly viewed as a nonorthogonal multiresolution algorithm for which the discrete wavelet transform is exact. Moreover, we show that the commonly used Lagrange a trous filters are in one-to-one correspondence with the convolutional squares of the Daubechies filters for orthonormal wavelets of compact support. A systematic framework for the discrete wavelet transform is provided, and conditions are derived under which it computer the continuous wavelet transform exactly. Suitable filter constraints for finite energy and boundedness of the discrete transform are also derived. Finally, relevant signal-processing parameters are examined, and it is remarked that orthonormality is balanced by restrictions on resolution.
Descriptors : *ALGORITHMS , PARAMETERS , DISCRETE FOURIER TRANSFORMS , FILTERS , DECOMPOSITION , SIGNAL PROCESSING , ENERGY
Subject Categories : NUMERICAL MATHEMATICS
Distribution Statement : APPROVED FOR PUBLIC RELEASE