Feature extraction using best wavelet packet transform

UM > Faculty of Science and Technology > DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE

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	Feature extraction using best wavelet packet transform
	Wang S.-Y.1; Zhu G.-X.1; Tang Y.-Y.2
	2003-07-01
Source Publication	Tien Tzu Hsueh Pao/Acta Electronica Sinica
ISSN	03722112
Volume	31 Issue:7 Pages:1035-1038
Abstract	In pattern recognition or classification, extracting effective classification features from original pattern signals is very important. But, for a great number of non-stationary or time-varying signals, such as speech, radar, earthquake signals, etc., classification features are often localized both in time and frequency, so thus extracting effective features from them by general transformation methods is very difficult. Wavelet packet transform can provides an arbitrary time-frequency decomposition for the signals, because a wavelet packet library contains many wavelet packet bases, which can handle the different components of a signal. Therefore, by selecting a suitable basis, the effective features can be extracted. This paper is mainly concerned with extracting effective features from the recognized or classified signals by selecting wavelet packet basis via given training sample sets. Three separability criteria, i. e., distance criterion, divergence criterion and entropy criterion, are used for selecting the best basis. The performance of features extraction by wavelet packet transform is compared with that by wavelet transform through experiments.
Keyword	Classification Feature extraction Pattern recognition Wavelet packet Wavelet transform
URL	View the original
Language	英語English
Fulltext Access	View Full-Text via Scopus
Document Type	Journal article
Collection	DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation	1.Huazhong University of Science and Technology 2.Hong Kong Baptist University
Recommended Citation GB/T 7714	Wang S.-Y.,Zhu G.-X.,Tang Y.-Y.. Feature extraction using best wavelet packet transform[J]. Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2003, 31(7), 1035-1038.
APA	Wang S.-Y.., Zhu G.-X.., & Tang Y.-Y. (2003). Feature extraction using best wavelet packet transform. Tien Tzu Hsueh Pao/Acta Electronica Sinica, 31(7), 1035-1038.
MLA	Wang S.-Y.,et al."Feature extraction using best wavelet packet transform".Tien Tzu Hsueh Pao/Acta Electronica Sinica 31.7(2003):1035-1038.

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