A transient detector based on Malvar wavelets
Philippe Ravier, Pierre‐Olivier Amblard · 2002
This paper is devoted to the detection of transient acoustic signals in very low signal-to-noise ratio contexts. The proposed algorithm uses the adaptive Malvar wavelet transform. It leads to a partition of the signal which is "optimal" according to a criterion that tests the Gaussian nature of the segments. A statistic based on the kurtosis is computed from this segmentation.