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Proceedings Paper

Genetic algorithm search of multiresolution tree with applications in data compression
Author(s): Chee-Hung Henry Chu
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Paper Abstract

Wavelet decomposition of data has been used with success for data compression in a large class of signals. The wavelet packets representation is a decomposition that includes as a special case the wavelet transform. In this scheme, wavelet packets are assembled as a representation of the signal. There exist a large number of possible wavelet combinations for each signal. An adaptation scheme based on the genetic optimization method is presented for determining an optimal representation for data compression. Experiment results using real data as well as autoregressive random processes are used to compare the performance of the adapted packets and the wavelet transform.

Paper Details

Date Published: 15 March 1994
PDF: 13 pages
Proc. SPIE 2242, Wavelet Applications, (15 March 1994); doi: 10.1117/12.170099
Show Author Affiliations
Chee-Hung Henry Chu, Univ. of Southwestern Louisiana (United States)

Published in SPIE Proceedings Vol. 2242:
Wavelet Applications
Harold H. Szu, Editor(s)

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