Adaptive ship-radiated noise recognition with learnable fine-grained wavelet transform

arXiv:2306.01002v2 Announce Type: replace-cross
Abstract: Analyzing the ocean acoustic environment is a tricky task. Background noise and variable channel transmission environment make it complicated to implement accurate ship-radiated noise recognition. Existing recognition systems are weak in addressing the variable underwater environment, thus leading to disappointing performance in practical application. In order to keep the recognition system robust in various underwater environments, this work proposes an adaptive generalized recognition system - AGNet (Adaptive Generalized Network). By converting fixed wavelet parameters into …

abstract application arxiv cs.lg cs.sd eess.as environment fine-grained noise ocean performance practical recognition ship systems type underwater wavelet