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.
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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. In: Puntonet, C.G., Prieto, A. (eds) Independent Component Analysis and Blind Signal Separation. ICA 2004. Lecture Notes in Computer Science, vol 3195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30110-3_142
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DOI: https://doi.org/10.1007/978-3-540-30110-3_142
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