Data compression by multiresolution tree search

Chee-Hung Henry Chu

doi:10.1117/12.172251

1 July 1994 Data compression by multiresolution tree search

Chee-Hung Henry Chu

Author Affiliations +

Optical Engineering, Vol. 33, Issue 7, (July 1994). https://doi.org/10.1117/12.172251

Abstract

Wavelet decomposition of data has been used with success in a large class of signal and image processing tasks. 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 "Data compression by multiresolution tree search," Optical Engineering 33(7), (1 July 1994). https://doi.org/10.1117/12.172251

Published: 1 July 1994

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