New Sequences of Linear Time Erasure Codes Approaching the Channel Capacity
AAECC-13 Proceedings of the 13th International Symposium on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
New sequences of capacity achieving LDPC code ensembles over the binary erasure channel
IEEE Transactions on Information Theory
Efficient erasure correcting codes
IEEE Transactions on Information Theory
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
Analysis of sum-product decoding of low-density parity-check codes using a Gaussian approximation
IEEE Transactions on Information Theory
Finite-length analysis of low-density parity-check codes on the binary erasure channel
IEEE Transactions on Information Theory
Capacity-achieving sequences for the erasure channel
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
On decoding of low-density parity-check codes over the binary erasure channel
IEEE Transactions on Information Theory
Bounds on achievable rates of LDPC codes used over the binary erasure channel
IEEE Transactions on Information Theory
Regular and irregular progressive edge-growth tanner graphs
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
On the design of irregular LDPC code ensembles for BIAWGN channels
IEEE Transactions on Communications
New sequences of capacity achieving LDPC code ensembles over the binary erasure channel
IEEE Transactions on Information Theory
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We propose a systematic method to design irregular low-density parity-check (LDPC) codes for binary erasure channels (BEC). Compared to the existing methods, which are based on the application of asymptotic analysis tools such as density evolution or Extrinsic Information Transfer (EXIT) charts in an optimization process, the proposed method is much simpler and faster. Through a number of examples, we demonstrate that the codes designed by the proposed method perform very closely to the best codes designed by optimization. An important property of the proposed designs is the flexibility to select the number of constituent variable node degrees P. The proposed designs include existing systematic designs as a special case with P = N - 1, where N is the maximum variable node degree. Compared to the existing systematic designs, for a given rate and a given δ 0, the designed ensembles can have a threshold in δ-neighborhood of the capacity upper bound with smaller values of P and N. They can also achieve the capacity of the BEC as N, and correspondingly P and the maximum check node degree tend to infinity.