Joint Source–Channel Coding Error Exponent for Discrete Communication Systems With Markovian Memory

@article{Zhong2007JointSC,
  title={Joint Source–Channel Coding Error Exponent for Discrete Communication Systems With Markovian Memory},
  author={Yangfan Zhong and Fady Alajaji and L. Lorne Campbell},
  journal={IEEE Transactions on Information Theory},
  year={2007},
  volume={53},
  pages={4457-4472}
}
We study the error exponent, E<sub>J</sub>, for reliably transmitting a discrete stationary ergodic Markov (SEM) source Q over a discrete channel W with additive SEM noise via a joint source-channel (JSC) code. We first establish an upper bound for E<sub>J</sub> in terms of the Renyi entropy rates of the source and noise processes. We next investigate the analytical computation of E<sub>J</sub> by comparing our bound with Gallager's lower bound (1968) when the latter one is specialized to the… CONTINUE READING

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