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Detection of Transient Signals by Wavelet Packet Transform and Stochastic Resonance

Dutta, Aparna and Anand, GV (2004) Detection of Transient Signals by Wavelet Packet Transform and Stochastic Resonance. In: 2004 IEEE Region 10 Conference TENCON 2004, 21-24 November, Chiang Mai,Thailand, Vol.1, 251 -254.


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The problem of detecting an unknown transient signal in noise is considered. The observed data is first, quantized by a symmetric quantizer. By an optimum matching of the quantizer thresholds to the noise probability density function, the signal-to-noise ratio in the data is enhanced by the phenomenon of stochastic resonance. The output of the stochastic resonator (optimal quantizer) is then transformed using a translation-invariant wavelet packet transform (TIWPT). The magnitude of the maximum magnitude coefficient, in the entire TI-WPT decomposition is used as the test-statistic. Simulation results are presented to show that, at very low SNRs, the TIWPT detector preceded by the stochastic resonator gives a much better detection performance than a detector based on the TIWPT alone.

Item Type: Conference Paper
Publisher: IEEE
Additional Information: �©1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 08 Dec 2005
Last Modified: 19 Sep 2010 04:21
URI: http://eprints.iisc.ac.in/id/eprint/4240

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