The DOI matches its Crossref record.
The Theory of Information and Coding
Abstract
This is a revised edition of McEliece's classic, published with students in mind. It is a self-contained introduction to all basic results in the theory of information and coding. This theory was developed to deal with the fundamental problem of communication, that of reproducing at one point, either exactly or approximately, a message selected at another point. There is a short and elementary overview introducing the reader to the concept of coding. Then, following the main results, the channel and source coding theorems, there is a study of specific coding schemes which can be used for channel and source coding. This volume can be used either for self-study, or for a graduate/undergraduate level course at university. It includes dozens of worked examples and several hundred problems for solution. The exposition will be easily comprehensible to readers with some prior knowledge of probability and linear algebra.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Ambient Backscatter Communications: A Contemporary Survey
Van Huynh, N., Hoang, D. T., Lu, X., Niyato, D., Wang, P., & Kim, D. I. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2841964 · Cited by 932
The capacity of the Hopfield associative memory
McEliece, R., Posner, E., Rodemich, E., & Venkatesh, S. (1987) · IEEE Transactions on Information Theory · doi:10.1109/tit.1987.1057328 · Cited by 910
Self-citationHolographic data storage technology
Ashley, J., Bernal, M.-P., Burr, G. W., Coufal, H., Guenther, H., Hoffnagle, J. A., Jefferson, C. M., Marcus, B., Macfarlane, R. M., Shelby, R. M., et al. (2000) · IBM Journal of Research and Development · doi:10.1147/rd.443.0341 · Cited by 722
Visible light communication: Applications, architecture, standardization and research challenges
Khan, L. U. (2017) · Digital Communications and Networks · doi:10.1016/j.dcan.2016.07.004 · Cited by 528
A High-Density Admixture Map for Disease Gene Discovery in African Americans
Smith, M. W., Patterson, N., Lautenberger, J. A., Truelove, A. L., McDonald, G. J., Waliszewska, A., Kessing, B. D., Malasky, M. J., Scafe, C., Le, E., et al. (2004) · The American Journal of Human Genetics · doi:10.1086/420856 · Cited by 459
Metadata
- Authors
- McEliece, R.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2002-04-18
- OpenAlex
- W187677220
- Cited by
- 986
- References
- 0
- FWCI
- 35.69
- Type
- book
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Theory of Information and Coding. https://app.cochat.ai/papers/10.1017/cbo9780511606267
- The paper
- McEliece, R. (2002). The Theory of Information and Coding. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511606267
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.