Research on a Feature Enhancement Extraction Method for Underwater Targets Based on Deep Autoencoder Networks

The low-frequency line spectrum of the radiated noise signals of hydroacoustic targets contains features describing the intrinsic properties of the target that make the target susceptible to exposure. In order to extract the line spectral features of underwater acoustic targets, a method combining i...

Full description

Saved in:

Bibliographic Details
Published in:	Applied sciences Vol. 14; no. 4; p. 1341
Main Authors:	Ji, Fang, Li, Guonan, Lu, Shaoqing, Ni, Junshuai
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.02.2024
Subjects:	Acoustics Algorithms Analysis Convex analysis deep autoencoder network Entropy Image processing large underwater vehicles line spectrum enhancement Methods Neural networks Optimization Signal processing Signal to noise ratio Sonar systems very low signal-to-noise ratio
ISSN:	2076-3417, 2076-3417
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!