A Deep Convolutional Neural Network Inspired by Auditory Perception for Underwater Acoustic Target Recognition

A Deep Convolutional Neural Network Inspired by Auditory Perception for Underwater Acoustic Target Recognition

Underwater acoustic target recognition (UATR) using ship-radiated noise faces big challenges due to the complex marine environment. In this paper, inspired by neural mechanisms of auditory perception, a new end-to-end deep neural network named auditory perception inspired Deep Convolutional Neural N...

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Bibliographic Details
Main Authors: Honghui Yang, Junhao Li, Sheng Shen, Guanghui Xu
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Sensors
Subjects:
underwater acoustic target recognition
ship-radiated noise
deep learning
brain-inspired
auditory perception inspired
filter learning
Online Access:http://www.mdpi.com/1424-8220/19/5/1104

Internet

http://www.mdpi.com/1424-8220/19/5/1104

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