DocumentCode
3263923
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
fYear
2007
fDate
6-8 Sept. 2007
Firstpage
351
Lastpage
354
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IDAACS.2007.4488438
Filename
4488438
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