Title :
Subterranean Termite Detection Using the Spectral Kurtosis
Author :
De la Rosa, Juan José González ; Puntonet, C.G. ; Moreno, A.
Author_Institution :
Univ. of Cadiz, Cadiz
Abstract :
This paper deals with termite detection in noisy media using higher-order statistics. The results could be extrapolated to all impulse-like insect emissions. 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.
Keywords :
higher order statistics; object detection; spectral analysis; higher-order statistics; impulse-like insect emissions; noisy media; nonGaussian characteristics; spectral kurtosis; subterranean termite detection; ultrasound frequency band; Acoustic noise; Conferences; Data acquisition; Frequency; Higher order statistics; Instruments; Soil; Ultrasonic imaging; Ultrasonic variables measurement; Wavelet packets; Termite detection; cumulants; higher-order statistics; spectral kurtosis;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2007. IDAACS 2007. 4th IEEE Workshop on
Conference_Location :
Dortmund
Print_ISBN :
978-1-4244-1347-8
Electronic_ISBN :
978-1-4244-1348-5
DOI :
10.1109/IDAACS.2007.4488438
