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Editors contains: "Moser, Stefan M"

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  1. ; ; ; (, ETH Zurich)
    Lapidoth, Amos; Moser, Stefan M (Ed.)
    This paper introduces extensions to data-driven polar decoders, enabling list decoding and accommodating asymmetric input distributions. These are crucial steps to develop data-driven codes that 1) achieve capacity and 2) are competitive in moderate block lengths. We commence by integrating list de- coding into the data-driven polar codes, which significantly alleviates the inherent error propagation issues associated with successive cancellation decoding. Secondly, we expand the applicability of these codes to channels with stationary, non-uniform input distributions by incorporating the Honda-Yamamoto scheme. Both modifications are computationally efficient and do not require an explicit channel model. Numerical results validate the efficacy of our contributions, which offer a robust and versatile coding mechanism for various channel conditions. 
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    Accepted Manuscript Full Text Available