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J. Chen and M. P. Fossorier, “Near Optimum Universal Belief Propagation Based Decoding of Low Density Parity Check Codes,” IEEE Transactions on Communications, Vol. 50, No. 3, 2002, pp. 406-414.
http://dx.doi.org/10.1109/26.990903

has been cited by the following article:

• TITLE: Estimation of Two-Dimensional Correction Factors for Min-Sum Decoding of Regular LDPC Code

  AUTHORS: Ahmed A. Hamad

  KEYWORDS: LDPC Code; Sum-Product; Min-Sum; 2-D Correction Factors; Software-Defined Radio (SDR)

  JOURNAL NAME: Wireless Engineering and Technology, Vol.4 No.4, October 29, 2013

  ABSTRACT: In this paper, two-dimensional (2-D) correction scheme is proposed to improve the performance of conventional Min-Sum (MS) decoding of regular low density parity check codes. The adopted algorithm to obtain the correction factors is simply based on estimating the mean square difference (MSD) between the transmitted codeword and the posteriori information of both bit and check node that produced at the MS decoder. Semi-practical tests using software-defined radio (SDR) and specific code simulations show that the proposed quasi-optimal algorithm provides a comparable error performance as Sum-Product (SP) decoding while requiring less complexity.