Hybrid wavelet packet analysis

Author

Hedges, Robert A.

Author_Institution

Coll. of Eng. & Appl. Sci., Arizona State Univ., Tempe, AZ, USA

Volume

2

fYear

1997

fDate

2-5 Nov. 1997

Firstpage

1254

Abstract

Performance of any transform in a particular application is highly dependent on the basis functions chosen. The choice of quadrature mirror filters (QMF) used in a wavelet packet analysis should be taken into consideration in a compression scheme. The choice of appropriate QMF is not only signal dependent, but scale dependent within a given signal. A generalization, known as hybrid wavelet packet analysis, which includes the choice of optimal QMF at each level of decomposition is introduced. Preliminary results show that optimized hybrid wavelet packet bases provide better compression for a class of signals.

Keywords

data compression; filtering theory; genetic algorithms; quadrature mirror filters; tree searching; wavelet transforms; basis functions; exhaustive tree searching; genetic algorithm; hybrid wavelet packet analysis; optimal QMF; quadrature mirror filters; signal compression; Algorithm design and analysis; Decision trees; Discrete wavelet transforms; Educational institutions; Filters; Genetic algorithms; Mirrors; Wavelet analysis; Wavelet packets; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-8316-3

Type

conf

DOI

10.1109/ACSSC.1997.679105

Filename

679105