In the case of a network, the morphology of the signal is often very different from one sensor to another and the measure of the propagation parameters is usually derived from the set of arrival times by an inversion process, as described by Husebye (1969). In the case of a mini-array, we can take advantage of the high degree of signal coherence to compute arrival time differences using classical techniques of signal processing theory. Husebye’s method may then be used to evaluate the propagation parameters from the derived set of arrival time differences.
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Cansi, Y., Pichon, A.L. (2008). Infrasound Event Detection Using the Progressive Multi-Channel Correlation Algorithm. In: Havelock, D., Kuwano, S., Vorländer, M. (eds) Handbook of Signal Processing in Acoustics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-30441-0_77
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