Study of multiresolution denoising techniques for oceanic traffic noise in the region of low frequency

In view of, investigation study of anthropogenic acoustic signal is created in the ocean both purposefully and unintentionally. The Ship driven noise from an automated noise measurement system deployed in region of low frequency of Bay of Bengal. The result is ship noise signal that is high-intensity and acute, as well as lower-level and chronic. The locations of ship driven noise signal are along well-traveled paths in the sea and particularly encompass continental and shelf waters. The Ship driven noise denoising done by using the classical white noise assumption for which matched filter based algorithms performs optimally. In this paper, two different noise removal methods are studied and all are classical methods on wavelet packet (WPD) decomposition and uniform filter bank (UFB) decomposition. As shown through experimental results, the WPD-based and UFB-based denoising techniques are well-suited in ship driven noise signal. Performances of the noise removal techniques are compared to those implemented filter, and demonstrate that techniques are give good results for the denoising of acoustic data.