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Higher-order statistics to detect and characterise termite emissions

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4 Author(s)
De la Rosa, J.J.G. ; Electron. Instrum. Res. Group, Univ. of Cadiz Avda, Spain ; Lloret, I. ; Puntonet, C.G. ; Gorriz, J.M.

An independent components analysis algorithm is applied to extract vibratory signals generated by termites from background noise. Signals from a microphone in uniform and Gaussian noise, were taken as sensor outputs. Bispectrum is proposed as a higher-order statistic to characterise time series. Experiments prove that detection and characterisation can be performed successfully even with low signal-to-noise ratio signals.

Published in:

Electronics Letters  (Volume:40 ,  Issue: 20 )

Date of Publication:

30 Sept. 2004

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