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Proceedings Paper

Change-point detection using wavelets
Author(s): Wenhua Chen; C.-C. Jay Kuo
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Paper Abstract

The change-point detection problem is one of the central problems in statistical inference and nonstationary signal processing. In this research, we incorporate the wavelet transform technique into the change-point detection framework and address several arising issues. We first apply the change detection algorithm in the wavelet domain, and discuss the advantages and disadvantages of the approach. Then, we consider the effect of down-sampling and the use of non-wavelet filters. Finally, we propose a new scheme for change detection based on the local energy feature, which shows some clear advantage of the wavelet transform approach.

Paper Details

Date Published: 7 June 1996
PDF: 12 pages
Proc. SPIE 2750, Digital Signal Processing Technology, (7 June 1996); doi: 10.1117/12.241984
Show Author Affiliations
Wenhua Chen, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)

Published in SPIE Proceedings Vol. 2750:
Digital Signal Processing Technology
Joseph Picone, Editor(s)

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