Low-Delay Analog Joint Source-Channel Coding With Deep Learning
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA
Funder
National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
https://ieeexplore.ieee.org/ielam/26/10016736/9954060-aam.pdf
Reference45 articles.
1. LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks
2. Outrageously large neural networks: The sparsely-gated mixture-of-experts layer;shazeer;arXiv 1701 06538,2017
3. On the Shannon theory of information transmission in the case of continuous signals
4. Low-Delay Analog Distributed Joint Source-Channel Coding using SIRENs
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