The DOI matches its Crossref record.
Raptor codes
Open accessAbstract
LT-codes are a new class of codes introduced by Luby for the purpose of scalable and fault-tolerant distribution of data over computer networks. In this paper, we introduce Raptor codes, an extension of LT-codes with linear time encoding and decoding. We will exhibit a class of universal Raptor codes: for a given integer k and any real epsiv>0, Raptor codes in this class produce a potentially infinite stream of symbols such that any subset of symbols of size k(1+epsiv) is sufficient to recover the original k symbols with high probability. Each output symbol is generated using O(log(1/epsiv)) operations, and the original symbols are recovered from the collected ones with O(klog(1/epsiv)) operations. We will also introduce novel techniques for the analysis of the error probability of the decoder for finite length Raptor codes. Moreover, we will introduce and analyze systematic versions of Raptor codes, i.e., versions in which the first output elements of the coding system coincide with the original k elements
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
Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges
Islam, S. M. R., Avazov, N., Dobre, O. A., & Kwak, K.-S. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2621116 · Cited by 2,458
FemtoCaching: Wireless Content Delivery Through Distributed Caching Helpers
Shanmugam, K., Golrezaei, N., Dimakis, A. G., Molisch, A. F., & Caire, G. (2013) · IEEE Transactions on Information Theory · doi:10.1109/tit.2013.2281606 · Cited by 1,246
DNA Fountain enables a robust and efficient storage architecture
Erlich, Y., & Zielinski, D. (2017) · Science · doi:10.1126/science.aaj2038 · Cited by 898
Wireless Device-to-Device Caching Networks: Basic Principles and System Performance
Ji, M., Caire, G., & Molisch, A. F. (2016) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2015.2452672 · Cited by 444
Kramer, G., Marić, I., & Yates, R. D. (2006) · Foundations and Trends® in Networking · doi:10.1561/1300000004 · Cited by 282
Metadata
- Authors
- Shokrollahi, A.
- Venue
- IEEE Transactions on Information Theory
- Published
- 2006-06
- Volume
- 52
- Issue
- 6
- Pages
- 2551-2567
- ISSN
- 0018-9448 (ISSN-L)
- OpenAlex
- W4229922087
- Cited by
- 2,154
- References
- 0
- FWCI
- 132.03
- Type
- journal article
- Language
- en
- Open access
- green
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: Raptor codes. https://app.cochat.ai/papers/10.1109/tit.2006.874390
- The paper
- Shokrollahi, A. (2006). Raptor codes. IEEE Transactions on Information Theory. https://doi.org/10.1109/tit.2006.874390
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.