Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

IEEE International Symposium on Information Theory (ISIT)

低密度パリティ検査(LDPC)符号の Modified Weighted Bit Flipping 復号アルゴリズム

洋一 稲葉, 知明 大槻

Published Dec 15, 2003• 0 citations
OpenAlex

Related papers

低密度パリティ検査(LDPC)符号のModified Weighted Bit Flipping復号アルゴリズム

稲葉洋一, 大槻知明

電子情報通信学会大会講演論文集•Jan 1, 2004•0 citations

SA-5-6 低密度パリティ検査(LDPC)符号のModified Weighted Bit Flipping復号アルゴリズム(SA-5. LDPCおよびターボ符号とその周辺の理論)

洋一 稲葉, 知明 大槻

電子情報通信学会総合大会講演論文集•Mar 8, 2004•0 citations

Weighted Bit-Flipping 復号における Rate Compatible LDPC 符号のレート推定法の検討

健次 喜多, 哲夫 辻岡

IEICE Technical Report; IEICE Tech. Rep.•Apr 17, 2008•0 citations

Bootstrapped Modified Weighted Bit Flipping Decoding of Low Density Parity Check Codes

Yoichi Inaba

Recently, various decoding algorithms with Low Density Parity Check (LDPC) codes have been proposed. Most algorithms can be divided into a hard decision algorithm and a soft decision algorithm. The Weighted Bit Flipping (WBF) algorithm that is between a hard decision and a soft decision algorithms has been proposed. The Bootstrapped WBF and Modified WBF algorithms have been proposed to improve the error rate performance and decoding complexity of the WBF algorithm. In this letter, we apply the Bootstrap step to the Modified WBF algorithm. We show that the Bootstrapped modified WBF algorithm outperforms the WBF, Bootstrapped WBF, and Modified WBF algorithms. Moreover, we show that the Bootstrapped modified WBF algorithm has the lowest decoding complexity.

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences•Apr 1, 2006•2 citations

An improvement on the modified weighted bit flipping decoding algorithm for LDPC codes

Ming Yan Jiang, Chunming Zhao, Zhihua Shi +1 more

We present a major improvement to the modified weighted bit flipping (MWBF) decoding algorithm for low density parity-check (LDPC) codes. We improve the flipping criterion by introducing a more efficient method for computing the reliability of the parity checks. We derive an approximate theoretical expression for the weighting factor and demonstrate its consistency with simulation results. The improved MWBF algorithm achieves a noticeable gain over the MWBF algorithm with only a modest increase in computational complexity.

IEEE Communications Letters•Sep 1, 2005•153 citations

Combined modified weighted bit-flipping decoding of low-density parity-check codes

Haiyi Huang, Yige Wang, Gang Wei

In this paper, we propose a combined modified weighted bit-flipping (CM-WBF) algorithm for low-density parity-check (LDPC) codes. The new algorithm combines modified weighted bit-flipping (M-WBF) with low complexity weighted bit-flipping (LC-WBF). Simulation results show that the new algorithm offers a better trade-off among performance, complexity, and convergence compared with M-WBF, LC-WBF and RR-WBF algorithms for finite geometry LDPC (FG-LDPC) codes.

International Conference on Wireless Communications and Signal Processing (WCSP)•Oct 1, 2012•1 citation
Recently, various decoding algorithms with Low Density Parity Check (LDPC) codes have been proposed. Most algorithms can be divided into a hard decision algorithm and a soft decision algorithm. The Weighted Bit Flipping (WBF) algorithm that is between a hard decision and a soft decision algorithms has been proposed. The Bootstrapped WBF and Modified WBF algorithms have been proposed to improve the error rate performance and decoding complexity of the WBF algorithm. In this letter, we apply the Bootstrap step to the Modified WBF algorithm. We show that the Bootstrapped modified WBF algorithm outperforms the WBF, Bootstrapped WBF, and Modified WBF algorithms. Moreover, we show that the Bootstrapped modified WBF algorithm has the lowest decoding complexity.
We present a major improvement to the modified weighted bit flipping (MWBF) decoding algorithm for low density parity-check (LDPC) codes. We improve the flipping criterion by introducing a more efficient method for computing the reliability of the parity checks. We derive an approximate theoretical expression for the weighting factor and demonstrate its consistency with simulation results. The improved MWBF algorithm achieves a noticeable gain over the MWBF algorithm with only a modest increase in computational complexity.