Title :
Higher-order statistics to detect and characterise termite emissions
Author :
De la Rosa, J.J.G. ; Lloret, I. ; Puntonet, C.G. ; Górriz, J.M.
Author_Institution :
Electron. Instrum. Res. Group, Univ. of Cadiz Avda, Spain
Abstract :
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.
Keywords :
acoustic noise; acoustic signal processing; bioacoustics; higher order statistics; independent component analysis; zoology; Gaussian noise; background noise; higher-order statistics; independent components analysis algorithm; microphone; sensor outputs; signal-to-noise ratio signals; termite emissions; time series; vibratory signals generation;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20045664
