Raptor codes on binary memoryless symmetric channels

By Omid Etesami, Amin Shokrollahi. IEEE Transactions on Information Theory, 2006

421 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/9a618c449610017f299f5c4d27e8de1914ca485e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Murat Uysal
2. J. F. I. Daniel J. Costello
3. J. G. D. G. David Forney
4. Mohammad Ali Khalighi

In Electrical and Electronic Engineering

1. Mohammad Ali Khalighi
2. Murat Uysal
3. J. F. I. Daniel J. Costello
4. J. G. D. G. David Forney
5. Mohamed-Slim Alouini
6. Julian Cheng

In Molecular Biology

1. Murat Uysal
2. J. F. I. Daniel J. Costello
3. J. G. D. G. David Forney
4. Mohammad Ali Khalighi

Citations in the corpus

• Survey on Free Space Optical Communication: A Communication Theory Perspective (2014, methodology): “is raptor coding [243], [244] which consists of concatenating an inner code with an outer Luby Transform (LT) code [245].”
• Channel coding: The road to channel capacity (2006, background): “ erasure channels, and both have been implemented for Internet applications by Digital Fountain, Inc.. Raptor codes also appear to work well over more general noisy channels, such as the AWGN channel [121]. F. Approaching the capacity of bandwidth-limited channels In Section V, we discussed coding f”