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Soft-decision priority-first decoding algorithms for variable-length error-correcting codes

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3 Author(s)
Yuh-Ming Huang ; Dept. of Comput. Sci. & Inf. Eng., Nat. Chi Nan Univ., Puli ; Han, Y.S. ; Ting-Yi Wu

Joint source-channel decoding has recently received extensive attention due to the rise in the applications of multimedia wireless communication. Based on a code trellis rather than on a code tree, this work presents a maximum a posteriori (MAP) soft-decision priority-first decoding algorithm and its approximations for variable-length error-correcting codes. Simulation results indicate that for the code with average codeword length 6.269 bits and free distance 3, under moderate signal-to-noise ratio, one of the proposed algorithms almost reaches the lowest decoding complexity, and has nearly the same performance on symbol error probability as the MAP decoding.

Published in:

Communications Letters, IEEE  (Volume:12 ,  Issue: 8 )