Using Malvar wavelets for transient detection

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 criteria that tests the Gaussian nature of the segments. A statistic based on the kurtosis is computed from this segmentation.