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...

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Vydané v:	Applied sciences Ročník 14; číslo 4; s. 1341
Hlavní autori:	Ji, Fang, Li, Guonan, Lu, Shaoqing, Ni, Junshuai
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.02.2024
Predmet:	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
On-line prístup:	Získať plný text
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