Genetic algorithm search of multiresolution tree with applications in data compression

Chee-Hung Henry Chu

doi:10.1117/12.170099

15 March 1994 Genetic algorithm search of multiresolution tree with applications in data compression

Chee-Hung Henry Chu

Proceedings Volume 2242, Wavelet Applications; (1994) https://doi.org/10.1117/12.170099
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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.

Citation Download Citation

Chee-Hung Henry Chu "Genetic algorithm search of multiresolution tree with applications in data compression", Proc. SPIE 2242, Wavelet Applications, (15 March 1994); https://doi.org/10.1117/12.170099

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