LDPC block and convolutional codes based on circulant matrices
By R. M. Tanner, Deepak Sridhara, Arvind Sridharan, Thomas E. Fuja, Daniel J. Costello Jr.. IEEE Transactions on Information Theory, 2004
593 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/a366fb81553d2db031443d43c9ef401ccb3f3a45
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
- Rüdiger L. Urbanke
- T. Richardson
- Shrinivas Kudekar
- Marc P. C. Fossorier
- Amin Shokrollahi
- David John Cameron MacKay
- Andrea J. Goldsmith
- Giuseppe Caire
In Electrical and Electronic Engineering
- Rüdiger L. Urbanke
- T. Richardson
- Shrinivas Kudekar
- Marc P. C. Fossorier
- Amin Shokrollahi
- David John Cameron MacKay
- Andrea J. Goldsmith
- Giuseppe Caire
Citations in the corpus
- Threshold Saturation via Spatial Coupling: Why Convolutional LDPC Ensembles Perform So Well over the BEC (2010, background): “Variations on the constructions as well as some analysis can be found in [6]–[9].”
- Iterative Decoding Threshold Analysis for LDPC Convolutional Codes (2010, unknown): “This is different from the LDPC convolutional codes considered in [6]–[8], where the codes have varying syndrome former memories ms, while b and c are fixed.”
- Spatially coupled ensembles universally achieve capacity under belief propagation (2012, methodology): “Variations on the constructions as well as some analysis can be found in Engdahl and Zigangirov [55], Engdahl, Lentmaier, and Zigangirov [56], Lentmaier, Truhachev, and Zigangirov [57], as well as Tanner, D. Srid-hara, A. Sridharan, Fuja, and Costello [58].”