End-to-End Underwater Acoustic Communication Based on Autoencoder with Dense Convolution
To address the problems of the high complexity and poor bit error rate (BER) performance of traditional communication systems in underwater acoustic environments, this paper incorporates the theory of deep learning into a conventional communication system and proposes data-driven underwater acoustic...
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| Published in: | Electronics (Basel) Vol. 12; no. 2; p. 253 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Basel
MDPI AG
01.01.2023
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| Subjects: | |
| ISSN: | 2079-9292, 2079-9292 |
| Online Access: | Get full text |
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