Higher-order cumulants and spectral kurtosis for early detection of subterranean termites

This paper deals with termite detection in non-favorable SNR scenarios via signal processing using higher-order statistics. The results could be extrapolated to all impulse-like insect emissions; the situation involves non-destructive termite detection. Fourth-order cumulants in time and frequency d...

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Bibliographic Details
Published in:Mechanical systems and signal processing 2008-02, Vol.22 (2), p.279-294
Main Authors: de la Rosa, Juan José González, Moreno Muñoz, Antonio
Format: Article
Language:English
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Summary:This paper deals with termite detection in non-favorable SNR scenarios via signal processing using higher-order statistics. The results could be extrapolated to all impulse-like insect emissions; the situation involves non-destructive termite detection. Fourth-order cumulants in time and frequency domains enhance the detection and complete the characterization of termite emissions, non-Gaussian in essence. Sliding higher-order cumulants offer distinctive time instances, as a complement to the sliding variance, which only reveal power excesses in the signal; even for low-amplitude impulses. The spectral kurtosis reveals non-Gaussian characteristics (the peakedness of the probability density function) associated to these non-stationary measurements, specially in the near ultrasound frequency band. Contrasted estimators have been used to compute the higher-order statistics. The inedited findings are shown via graphical examples.
ISSN:0888-3270
1096-1216
DOI:10.1016/j.ymssp.2007.08.009