Raptor codes

By Amin Shokrollahi, Michael Luby. International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings., 2009

735 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/9f57a5869145d8f6710db4d1359b88d22473b87a

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. A. Dimakis
2. Kannan Ramchandran
3. Yunnan Wu
4. Syed Ali Jafar
5. Dimitris Papailiopoulos
6. Suhas N. Diggavi
7. Cong Xie
8. Deepesh Data

In Electrical and Electronic Engineering

1. Kannan Ramchandran
2. A. Dimakis
3. Yunnan Wu

Citations in the corpus

• A Survey on Network Codes for Distributed Storage (2010, background): “aps the most popular MDS codes and together with the very similar information dispersal algorithm (IDA) [7], have been investigated in distributed storage applications (e.g. [3], [5]). Fountain codes [8] and LDPC codes [9] are recent code designs that offer approximate MDS properties and fast encodi”
• Full length article: On coding for reliable communication over packet networks (2008, neutral): “c rate optimality of a specific scheme that we believe may be practicable and that can be considered as the prototype for a family of related, improved schemes; for example, LT codes [8], Raptor codes [9], Online codes [10], RT oblivious erasure-correcting codes [11], and the greedy random scheme pro”