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Combining Denoising Autoencoders and Dynamic Programming for Acoustic Detection and Tracking of Underwater Moving Targets

Accurate detection and tracking of moving targets in underwater environments pose significant challenges, because noise in acoustic measurements (e.g., SONAR) makes the signal highly stochastic. In continuous marine monitoring a further challenge is related to the computational complexity of the sig...

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Principais autores: Alberto Testolin, Roee Diamant
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2020-05-01
Serier:Sensors
Fag:
underwater signal detection
deep learning
Viterbi algorithm
marine monitoring
acoustic detection
SONAR
Online adgang:https://www.mdpi.com/1424-8220/20/10/2945
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