A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
Two ICA algorithms applied to BSS in non-destructive vibratory tests
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Comparison of two ICA algorithms in BSS applied to non-destructive vibratory tests
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
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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.