article · IEEE Transactions on Information Theory · 2003

To code, or not to code: lossy source-channel communication revisited

Michael Gastpar, Bixio Rimoldi, Martin Vetterli

Cited by 552Open access

Abstract

What makes a source-channel communication system optimal? It is shown that in order to achieve an optimal cost-distortion tradeoff, the source and the channel have to be matched in a probabilistic sense. The match (or lack of it) involves the source distribution, the distortion measure, the channel conditional distribution, and the channel input cost function. Closed-form necessary and sufficient expressions relating the above entities are given. This generalizes both the separation-based approach as well as the two well-known examples of optimal uncoded communication. The condition of probabilistic matching is extended to certain nonergodic and multiuser scenarios. This leads to a result on optimal single-source broadcast communication.

Cite this paper

APA 7

Gastpar, M., Rimoldi, B., & Vetterli, M. (2003). To code, or not to code: lossy source-channel communication revisited. IEEE Transactions on Information Theory, 49(5), 1147–1158. https://doi.org/10.1109/tit.2003.810631

MLA 9

Gastpar, Michael, et al. “To code, or not to code: lossy source-channel communication revisited.” IEEE Transactions on Information Theory, vol. 49, no. 5, 2003, pp. 1147–58, https://doi.org/10.1109/tit.2003.810631.

Chicago

Gastpar, Michael, Bixio Rimoldi, and Martin Vetterli. 2003. “To code, or not to code: lossy source-channel communication revisited.” IEEE Transactions on Information Theory 49 (5): 1147–58. https://doi.org/10.1109/tit.2003.810631.

Harvard

Gastpar, M., Rimoldi, B. and Vetterli, M. (2003) ‘To code, or not to code: lossy source-channel communication revisited’, IEEE Transactions on Information Theory, 49(5), pp. 1147–1158. Available at: https://doi.org/10.1109/tit.2003.810631.

BibTeX

@article{gastpar2003code,
  title = {{To code, or not to code: lossy source-channel communication revisited}},
  author = {Gastpar, Michael and Rimoldi, Bixio and Vetterli, Martin},
  journal = {IEEE Transactions on Information Theory},
  volume = {49},
  number = {5},
  pages = {1147--1158},
  year = {2003},
  doi = {10.1109/tit.2003.810631}
}

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