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An improvement of soft-decision maximum-likelihood decoding algorithm using hard-decision bounded-distance decoding

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3 Author(s)
Kaneko, T. ; Inf. & Commun. Syst. Lab., Toshiba Corp., Kawasaki, Japan ; Nishijima, T. ; Hirasawa, S.

A new soft-decision maximum-likelihood decoding algorithm is proposed, which generates a set of candidate codewords using hard-decision bounded-distance decoding. By improving the generating method of input vectors for the bounded-distance decoding due to Kaneko et al. (see ibid., vol.40, no.3, p.320-27, 1994), the decoding time complexity is reduced without degradation of the performance. The space complexity is dependent on the bounded-distance decoding

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Information Theory, IEEE Transactions on  (Volume:43 ,  Issue: 4 )