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Proceedings Paper

Wavelet transforms with discrete-time continuous-dilation wavelets
Author(s): Wei Zhao; Raghuveer M. Rao
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Paper Abstract

Wavelet constructions and transforms have been confined principally to the continuous-time domain. Even the discrete wavelet transform implemented through multirate filter banks is based on continuous-time wavelet functions that provide orthogonal or biorthogonal decompositions. This paper provides a novel wavelet transform construction based on the definition of discrete-time wavelets that can undergo continuous parameter dilations. The result is a transformation that has the advantage of discrete-time or digital implementation while circumventing the problem of inadequate scaling resolution seen with conventional dyadic or M-channel constructions. Examples of constructing such wavelets are presented.

Paper Details

Date Published: 22 March 1999
PDF: 6 pages
Proc. SPIE 3723, Wavelet Applications VI, (22 March 1999); doi: 10.1117/12.342950
Show Author Affiliations
Wei Zhao, DIVX (United States)
Raghuveer M. Rao, Rochester Institute of Technology (United States)

Published in SPIE Proceedings Vol. 3723:
Wavelet Applications VI
Harold H. Szu, Editor(s)

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