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. Denoising 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. © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
Puntonet, C. G., De-la-Rosa, J. J. G., Galiana, I. L., & Górriz, J. M. (2005). Recognition of insect emissions applying the discrete wavelet transform. In Lecture Notes in Computer Science (Vol. 3686, pp. 505–513). Springer Verlag. https://doi.org/10.1007/11551188_55
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