CNN and RNN-based Deep Learning Methods for Digital Signal Demodulation-Reference-Cited by-同舟云学术

CNN and RNN-based Deep Learning Methods for Digital Signal Demodulation

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 International Conference on Image, Video and Signal Processing - IVSP 2019
language:
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Author:

Wu Tian¹

Affiliation:

1. Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications

Publisher

ACM Press

Reference17 articles.

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3. Fan M, Wu L. Demodulator based on deep belief networks in communication system[C]//Communication, Control, Computing and Electronics Engineering (ICCCCEE), 2017 International Conference on. IEEE, 2017: 1--5.

4. Gao X, Jin S, Wen C K, et al. ComNet: Combination of Deep Learning and Expert Knowledge in OFDM Receivers[J]. IEEE Communications Letters, 2018.

5. Goodfellow I, Bengio Y, Courville A, et al. Deep learning[M]. Cambridge: MIT press, 2016.

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