Abstract
The time-domain fingerprint of termite alarm signals is enhanced by wavelets and wavelet packets, using multi-resolution analysis. We take advantage of these emission patterns, characterized by four-impulse bursts. Identification has been developed by means of analyzing the impulse response of three sensors undergoing natural excitations. De-noising exhibits good performance up to SNR=-30 dB, in the presence of white Gaussian noise. The test can be extended to similar vibratory or acoustic signals resulting from impulse responses.
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Puntonet, C.G., de-la-Rosa, JJ.G., Galiana, I.L., Górriz, J.M. (2005). Recognition of Insect Emissions Applying the Discrete Wavelet Transform. In: Singh, S., Singh, M., Apte, C., Perner, P. (eds) Pattern Recognition and Data Mining. ICAPR 2005. Lecture Notes in Computer Science, vol 3686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11551188_55
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DOI: https://doi.org/10.1007/11551188_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28757-5
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