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Communication Dans Un Congrès Année : 2005

The use of wavelet packets for event detection

Résumé

In this paper, we propose a best basis selection method to choose a set of packets from a wavelet packet tree. Our goal is to obtain packets that show changes in both energy and frequency. The criterion adapted to choose the best basis is the Kullback-Leibler Distance (KLD). When there is no event to be detected, the estimated KLD follows roughly an exponential distribution depending on only one parameter: the length of the windows partitioning the signal. When events are detected in a packet, the distribution of the estimated KLD deviates from the exponential distribution. The statistics Kolmogorov-Smirnov are used to measure the separation between experimental and theoretical cumulative distributions in order to highlight the presence of ruptures, then to select the most relevant packets.
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Dates et versions

hal-02365413 , version 1 (15-11-2019)

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  • HAL Id : hal-02365413 , version 1

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Marwa Chendeb, Mohamad Khalil, Jacques Duchene. The use of wavelet packets for event detection. 2005 13th European Signal Processing Conference, Sep 2005, Antalya, Turkey. ⟨hal-02365413⟩
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