Joint source and channel decoding for variable length encoded turbo codes
EURASIP Journal on Advances in Signal Processing
Error recovery properties and soft decoding of quasi-arithmetic codes
EURASIP Journal on Advances in Signal Processing
An efficient variable-length code construction foriterative source-channel decoding
IEEE Transactions on Communications
IEEE Transactions on Communications
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Performance bounds and distance spectra of variable length codes in turbo/concatenated systems
IEEE Transactions on Communications
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We present a novel symbol-based soft-input a posteriori probability (APP) decoder for packetized variable-length encoded source indexes transmitted over wireless channels where the residual redundancy after source encoding is exploited for error protection. In combination with a mean-square or maximum APP estimation of the reconstructed source data, the whole decoding process is close to optimal. Furthermore, solutions for the proposed APP decoder with reduced complexity are discussed and compared to the near-optimal solution. When, in addition, channel codes are employed for protecting the variable-length encoded data, an iterative source-channel decoder can be obtained in the same way as for serially concatenated codes, where the proposed APP source decoder then represents one of the two constituent decoders. The simulation results show that this iterative decoding technique leads to substantial error protection for variable-length encoded correlated source signals, especially, when they are transmitted over highly corrupted channels.