An introduction to low-density parity-check codes
Theoretical aspects of computer science
Instanton-based techniques for analysis and reduction of error floors of LDPC codes
IEEE Journal on Selected Areas in Communications - Special issue on capaciyy approaching codes
Error-correction capability of column-weight-three LDPC codes
IEEE Transactions on Information Theory
On trapping sets and guaranteed error correction capability of LDPC codes and GLDPC codes
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory - Part 1
The capacity of low-density parity-check codes under message-passing decoding
IEEE Transactions on Information Theory
Design of capacity-approaching irregular low-density parity-check codes
IEEE Transactions on Information Theory
Expander graph arguments for message-passing algorithms
IEEE Transactions on Information Theory
Finite-length analysis of low-density parity-check codes on the binary erasure channel
IEEE Transactions on Information Theory
Using linear programming to Decode Binary linear codes
IEEE Transactions on Information Theory
LP Decoding Corrects a Constant Fraction of Errors
IEEE Transactions on Information Theory
On the Error Correction of Regular LDPC Codes Using the Flipping Algorithm
IEEE Transactions on Information Theory
Probabilistic Analysis of Linear Programming Decoding
IEEE Transactions on Information Theory
Eliminating Trapping Sets in Low-Density Parity-Check Codes by Using Tanner Graph Covers
IEEE Transactions on Information Theory
Two-bit message passing decoders for LDPC codes over the binary symmetric channel
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
Hi-index | 754.84 |
The relation between the girth and the error correction capability of column-weight-three LDPC codes under the Gallager A algorithm is investigated. It is shown that a column-weight-three LDPC code with Tanner graph of girth g ≥ 10 can correct all error patterns with up to (g/2-1) errors in at most g/2 iterations of the Gallager A algorithm. For codes with Tanner graphs of girth g ≤ 8, it is shown that girth alone cannot guarantee correction of all error patterns with up to (g/2-1) errors under the Gallager A algorithm. Sufficient conditions to correct (g/2-1) errors are then established by studying trapping sets.