The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Coding for computing
Abstract
A sender communicates with a receiver who wishes to reliably evaluate a function of their combined data. We show that if only the sender can transmit, the number of bits required is a conditional entropy of a naturally defined graph. We also determine the number of bits needed when the communicators exchange two messages.
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Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2001) · Wiley eBooks · doi:10.1002/0471200611 · Cited by 36,808
Noiseless coding of correlated information sources
Slepian, D., & Wolf, J. K. (1973) · IEEE Transactions on Information Theory · doi:10.1109/tit.1973.1055037 · Cited by 3,883
Information Theory: Coding Theorems for Discrete Memoryless Systems
Csiszár, I., & Körner, J. (2014) · REAL-EOD (Library of the Hungarian Academy of Sciences and the Information Center Oriental Collection) · Cited by 3,354
Broadcast channels with confidential messages
Csiszar, I., & Korner, J. (1978) · IEEE Transactions on Information Theory · doi:10.1109/tit.1978.1055892 · Cited by 3,332
The rate-distortion function for source coding with side information at the decoder
Wyner, A. D., & Ziv, J. (1976) · IEEE Transactions on Information Theory · doi:10.1109/tit.1976.1055508 · Cited by 3,092
Some complexity questions related to distributive computing(Preliminary Report)
Yao, A. C.-C. (1979) · Proceedings of the eleventh annual ACM symposium on Theory of computing - STOC '79 · doi:10.1145/800135.804414 · Cited by 1,042
Rate distortion theory : a mathematical basis for data compression
Berger, T. (1971) · Prentice Hall eBooks · Cited by 953
Rate Distortion Theory: A Mathematical Basis for Data Compression
Davisson, L. (1972) · IEEE Transactions on Communications · doi:10.1109/tcom.1972.1091311 · Cited by 895
Berger, T. (2003) · Wiley Encyclopedia of Telecommunications · doi:10.1002/0471219282.eot142 · Cited by 717
Research works printed but not linked: 3
- Kömer, Coding of an information source having ambiguous alphabet and the entropy of graphs, 411
- Rabin, 1979, private communication
- Yao, Some complexity questions related to distributive computing, 209
Cited by
Computation Over Multiple-Access Channels
Nazer, B., & Gastpar, M. (2007) · IEEE Transactions on Information Theory · doi:10.1109/tit.2007.904785 · Cited by 753
Metadata
- Authors
- Orlitsky, A., & Roche, J. R.
- Venue
- IEEE Transactions on Information Theory
- Published
- 2001-03
- Volume
- 47
- Issue
- 3
- Pages
- 903-917
- ISSN
- 0018-9448
- Cited by
- 307
- References
- 24
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.