A Survey Report on Deep Learning Techniques in Underwater Acoustic Channels-Reference-Cited by-同舟云学术

A Survey Report on Deep Learning Techniques in Underwater Acoustic Channels

Published:2020 Issue: Volume: Page:407-416
ISSN:2194-5357
Container-title:Computational Intelligence in Pattern Recognition
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Author:

Das Avik Kumar,Pramanik Ankita

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-2449-3_35

Reference16 articles.

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2. Li, B., Zhou, S., Stojanovic, M., Freitag, L., Willett, P.: Non-uniform Doppler Compensation for Zero-Padded OFDM Over Fast-Varying Underwater Acoustic Channels. IEEE (2007)

3. Zakharov, Y.V., Morozov, A.K.: OFDM transmission without guard interval in fast-varying underwater acoustic channels. IEEE J. Ocean. Eng. 40(1), 144–158 (2014)

4. Mehmood, R.M., Du, R., Lee, H.J.: Optimal feature selection and deep learning ensembles method for emotion recognition from human brain EEG sensors. IEEE Access 5, 14797–14806 (2017)

5. Zhang, X.-L., Wang, D.L.: A deep ensemble learning method for monaural speech separation. IEEE/ACM Trans. Audio Speech Lang. Process. (TASLP) 24(5), 967–977 (2016)

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