TinyTurbo: Efficient Turbo Decoders on Edge
Author:
Affiliation:
1. University of Illinois
2. University of Texas,Austin
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9834325/9834269/09834589.pdf?arnumber=9834589
Reference27 articles.
1. Cyclically equivariant neural decoders for cyclic codes;chen;arXiv preprint arXiv 2105 05540,2021
2. Deep Learning in Physical Layer Communications
3. Model-Driven DNN Decoder for Turbo Codes: Design, Simulation, and Experimental Results
4. LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Multiplexing and channel coding;3rd Generation Partnership Project (3GPP) Technical Specification (TS) 36 212 01 2011 version 10 0 0,0
5. Optimal decoding of linear codes for minimizing symbol error rate (Corresp.)
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1. Learning Channel Codes from Data: Performance Guarantees in the Finite Blocklength Regime;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25
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