Classification of Hydroacoustic Signals Based on Harmonic Wavelets and a Deep Learning Artificial Intelligence System

This paper considers two approaches to hydroacoustic signal classification, taking the sounds made by whales as an example: a method based on harmonic wavelets and a technique involving deep learning neural networks. The study deals with the classification of hydroacoustic signals using coefficients...

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Autori principali: Dmitry Kaplun, Alexander Voznesensky, Sergei Romanov, Valery Andreev, Denis Butusov
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2020-04-01
Serie:Applied Sciences
Soggetti:
harmonic wavelets
classification
kNN-algorithm
deep neural networks
machine learning
Fourier transform
Accesso online:https://www.mdpi.com/2076-3417/10/9/3097
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