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Error-correction coding is essentially a signal processing technique that is used to improve the reliability of digital communication systems. In the Information Set (IS) decoding a collection of information sets are used to generate candidate codewords. The procedure then selects as the decoded codeword the one which is closest to the received sequence. This decoding approach can reduces the complexity...
In this paper we introduce a new sub-optimum soft-decoding algorithm for block codes, based on information sets and erasures, which showed to be very efficient in terms of bit error rate and computational complexity when compared to optimum decoding methods. Our results show that the proposed algorithm performs very close to the maximum likelihood decoder, in terms of bit error rate, with a much lower...
In this paper we introduce a new sub-optimum soft-decoding algorithm for block codes, based on information sets and erasures, which showed to be very efficient in terms of bit error rate and computational complexity when compared to optimum decoding methods. Our results show that the proposed algorithm performs very close to the maximum likelihood decoder, in terms of bit error rate, with a much lower...
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