that the proposed approximation greatly simplifies the calculation of channel LLRs, and yet provides results almost identical to those based on the exact calculation of channel LLRs. The results are obtained in the context of bit-interleaved coded modulation (BICM) schemes with low-density parity-check (LDPC) codes

We introduce a computational technique that accurately predicts performance for a given LDPC code in the error floor region. We present some results obtained by applying the technique and describe certain aspects of it. 1

Abstract | In this paper we study low density parity check (LDPC) codes where the structure of the equa-tions arises from high girth graphs. We also discuss two modications, recoding and optimization of scale factors, to the standard decoding methods for LDPC codes. 1

Low Density Parity Check (LDPC) codes were first introduced by Gallager [1] in his thesis. After the invention, these codes were largely forgotten and there was “no activity ” till mid-late 90s when there was a renewed spurt of research activity on LDPC codes. Available resource for the state

Abstract — This letter presents the first successful method for iterative stochastic decoding of state-of-the-art Low-Density Parity-Check (LDPC) codes. The proposed method shows the viability of the stochastic approach for decoding LDPC codes on factor graphs. In addition, simulation results for a

processing, computer vision, and computational chemistry. This paper shows the application of this optimization principle in decoding LDPC codes, which is another hard combinatorial optimization problem. In our experiments, it significantly out-performed the sumproduct algorithm, the best known method

. It is known that the current GPRS system does not perform well enough without further modifications, therefore, more efficient information distribution schemes must be considered. To meet these increased requirements, especially for MBMS, we study the introduction of carefully designed LDPC codes

Abstract—Low-density parity-check (LDPC) coding for a multitude of equal-capacity channels is studied. First, based on numerous observations, a conjecture is stated that when the belief propagation decoder converges on a set of equal-capacity channels, it would also converge on any convex

that combines BCH and finite geometry LDPC codes. I.

Abstract—LDPC codes are typically decoded by running a synchronous message passing algorithm over the corresponding bipartite factor graph (made of variable and check nodes). More specifically, each synchronous round consists of 1) updat-ing all variable nodes based on the information received from