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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Dmitry Kaplun, Alexander Voznesensky, Sergei Romanov, Valery Andreev, Denis Butusov
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2020-04-01
Sarja:Applied Sciences
Aiheet:
harmonic wavelets
classification
kNN-algorithm
deep neural networks
machine learning
Fourier transform
Linkit:https://www.mdpi.com/2076-3417/10/9/3097
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia