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Found 5 papers, 1 papers with code
Component Training of Turbo Autoencoders
In this paper we extend the component training to structures with an inner and outer autoencoder, where we propose a new 1-bit quantization strategy for the encoder outputs based on the underlying communication problem.
Optimizing Serially Concatenated Neural Codes with Classical Decoders
For improving short-length codes, we demonstrate that classic decoders can also be used with real-valued, neural encoders, i. e., deep-learning based codeword sequence generators.
Learning Quantization in LDPC Decoders
Finding optimal message quantization is a key requirement for low complexity belief propagation (BP) decoding.
Automorphism Ensemble Decoding of Reed-Muller Codes
Reed-Muller (RM) codes are known for their good maximum likelihood (ML) performance in the short block-length regime.
Information Theory Information Theory
Iterative Detection and Decoding of Finite-Length Polar Codes in Gaussian Multiple Access Channels
We consider the usage of finite-length polar codes for the Gaussian multiple access channel (GMAC) with a finite number of users.
Information Theory Information Theory
