Abstract
An extended robust independent components analysis algorithm based on cumulants is applied to identify vibrational alarm signals generated by soldier termites (reticulitermes grassei) from background noise. A seismic accelerometer is employed to characterize acoustic emissions. To support the proposed technique, vibrational signals from a low cost microphone were masked by white uniform noise. Results confirm the validity of the method, taken as the basis for the development of a low cost, non-invasive, termite detection system. © Springer-Verlag 2004.
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CITATION STYLE
De La Rosa, J. J. G., Puntonet, C. G., Górriz, J. M., & Lloret, I. (2004). An application of ICA to identify vibratory low-level signals generated by termites. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3195, 1126–1133. https://doi.org/10.1007/978-3-540-30110-3_142
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