Title :
A transient detector based on Malvar wavelets
Author :
Ravier, P. ; Amblard, P.O.
Author_Institution :
CEPHAG-ENSIEG, CNRS, St. Martin d´´Heres, France
Abstract :
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
Keywords :
Gaussian processes; acoustic signal detection; adaptive signal detection; statistical analysis; transient analysis; underwater sound; wavelet transforms; Gaussian nature; Malvar wavelets; adaptive Malvar wavelet transform; algorithm; kurtosis; low signal-to-noise ratio; partition; segments; statistic; transient acoustic signals; transient detector; Acoustic signal detection; Acoustic testing; Additive noise; Boats; Detectors; Partitioning algorithms; Signal to noise ratio; Statistics; Underwater acoustics; Underwater tracking;
Conference_Titel :
OCEANS '96. MTS/IEEE. Prospects for the 21st Century. Conference Proceedings
Conference_Location :
Fort Lauderdale, FL
Print_ISBN :
0-7803-3519-8
DOI :
10.1109/OCEANS.1996.568354
