Bidirectional Denoising Autoencoders Based Robust Representation Learning for Underwater Acoustic Target Signal Denoising

The marine environmental noise formed by wind noise, rain noise, biological noise, sea surface waves, seismic disturbances, and so on is a kind of interference background field in underwater acoustic channels, which brings adverse effects to underwater acoustic target recognition. To improve the rec...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement Jg. 71; S. 1
Hauptverfasser:	Dong, Yafen, Shen, Xiaohong, Wang, Haiyan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Background noise bidirectional denoising autoencoder Correlation Interference Learning Noise measurement Noise reduction pseudo clean label representation learning Representations Robustness Signal denoising Support vector machines Surface waves Target recognition Training Underwater acoustic target signal denoising Underwater acoustics
ISSN:	0018-9456, 1557-9662
Online-Zugang:	Volltext
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