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Article Dans Une Revue IEEE Transactions on Information Theory Année : 2007

Synchronization recovery and state model reduction for soft decoding of variable length codes

Résumé

Variable length codes exhibit de-synchronization problems when transmitted over noisy channels. Trellis decoding techniques based on Maximum A Posteriori (MAP) estimators are often used to minimize the error rate on the estimated sequence. If the number of symbols and/or bits transmitted are known by the decoder, termination constraints can be incorporated in the decoding process. All the paths in the trellis which do not lead to a valid sequence length are suppressed. This paper presents an analytic method to assess the expected error resilience of a VLC when trellis decoding with a sequence length constraint is used. The approach is based on the computation, for a given code, of the amount of information brought by the constraint. It is then shown that this quantity as well as the probability that the VLC decoder does not re-synchronize in a strict sense, are not significantly altered by appropriate trellis states aggregation. This proves that the performance obtained by running a length-constrained Viterbi decoder on aggregated state models approaches the one obtained with the bit/symbol trellis, with a significantly reduced complexity. It is then shown that the complexity can be further decreased by projecting the state model on two state models of reduced size.
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Dates et versions

inria-00119600 , version 1 (11-12-2006)
inria-00119600 , version 2 (12-12-2006)

Identifiants

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Simon Malinowski, Hervé Jégou, Christine Guillemot. Synchronization recovery and state model reduction for soft decoding of variable length codes. IEEE Transactions on Information Theory, 2007, 53 (1), pp.368 - 377. ⟨10.1109/TIT.2006.887512⟩. ⟨inria-00119600v2⟩
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