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- W2947471541 abstract "This paper presents a novel truncation rule for the extended min-sum (EMS) decoding of non-binary low-density parity-check (NB-LDPC) codes. The conventional NB-LDPC decoders involve vector-messages of length equal to the field size $q$ . The complexity of these decoders increases significantly as $q$ increases. In the EMS algorithm, the vector-messages are truncated by discarding the less-likely symbols. In this paper, we propose a truncation rule so that the lengths of the vector-messages are reduced to the so-far best limit without compromising on the error correction capability. We devise a proximity matrix which helps to identify the essential components of a vector-message for truncation. The proposed truncation rule has been applied to several NB-LDPC codes of different field sizes. Simulation results for these codes show that the proposed rule can achieve the maximum truncation with negligible performance loss." @default.
- W2947471541 created "2019-06-07" @default.
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- W2947471541 date "2018-07-01" @default.
- W2947471541 modified "2023-09-23" @default.
- W2947471541 title "A Novel Truncation Rule for the EMS Decoding of Non-binary LDPC Codes" @default.
- W2947471541 doi "https://doi.org/10.1109/spcom.2018.8724394" @default.
- W2947471541 hasPublicationYear "2018" @default.
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