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

Message passing algorithm with MAP decoding on zigzag cycles for non-binary LDPC codes

隆之 野﨑, Kenta Kasai, KOHICHI SAKANIWA

Published Jul 1, 2013• 0 citations
OpenAlex

Related papers

Message Passing Algorithm with MAP Decoding on Zigzag Cycles for Non-binary LDPC Codes

隆之 野崎, T. Nozaki, 健太 笠井 +3 more

•Jun 1, 2013•0 citations

Message Passing Algorithm with MAP Decoding on Zigzag Cycles for Non-binary LDPC Codes (情報理論)

隆之 野崎, 健太 笠井, 好一 坂庭

IEICE Technical Report; IEICE Tech. Rep.•Sep 27, 2012•0 citations

Message Passing Decoder with Decoding on Zigzag Cycles for Non-binary LDPC Codes

T. Nozaki, Kenta Kasai, Kohichi Sakaniwa

In this paper, we propose a message passing decoding algorithm which lowers decoding error rates in the error floor regions for non-binary low-density parity-check (LDPC) codes transmitted over the binary erasure channel (BEC) and the memoryless binary-input output-symmetric (MBIOS) channels. In the case for the BEC, this decoding algorithm is a combination with belief propagation (BP) decoding and maximum a posteriori (MAP) decoding on zigzag cycles, which cause decoding errors in the error floor region. We show that MAP decoding on the zigzag cycles is realized by means of a message passing algorithm. Moreover, we extend this decoding algorithm to the MBIOS channels. Simulation results demonstrate that the decoding error rates in the error floor regions by the proposed decoding algorithm are lower than those by the BP decoder.

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences•Jan 1, 2014•2 citations

Message passing algorithm with MAP decoding on zigzag cycles for non-binary LDPC codes

T. Nozaki, Kenta Kasai, Kohichi Sakaniwa

In this paper, we propose a decoding algorithm which lowers decoding erasure rates in the error floor regions for non-binary low-density parity-check codes transmitted over the binary erasure channels. This decoding algorithm is a combination with belief propagation (BP) decoding and maximum a posteriori (MAP) decoding on zigzag cycles, which cause decoding erasures in the error floor region. We show that MAP decoding on the zigzag cycles is realized by means of a message passing algorithm. A simulation result shows that the decoding erasure rates in the error floor regions by the proposed decoding algorithm are lower than those by the BP decoder.

IEEE International Symposium on Information Theory (ISIT)•Jul 1, 2013•1 citation

Bounds of MAP Decoding Performance for Non-binary LDPC Codes

Eri Mutaguchi, Kasai Kenta, Tomoharu Shibuya +1 more

IEICE Technical Report; IEICE Tech. Rep.•Sep 4, 2008•0 citations

Message passing decoder with decoding on zigzag cycles for non-binary LDPC codes

隆之 野﨑, Kenta Kasai, KOHICHI SAKANIWA

In this paper, we propose a message passing decoding algorithm which lowers decoding error rates in the error floor regions for nonbinary low-density parity-check (LDPC) codes transmitted over the binary erasure channel (BEC) and the memoryless binary-input output-symmetric (MBIOS) channels.In the case for the BEC, this decoding algorithm is a combination with belief propagation (BP) decoding and maximum a posteriori (MAP) decoding on zigzag cycles, which cause decoding errors in the error floor region.We show that MAP decoding on the zigzag cycles is realized by means of a message passing algorithm.Moreover, we extend this decoding algorithm to the MBIOS channels.Simulation results demonstrate that the decoding error rates in the error floor regions by the proposed decoding algorithm are lower than those by the BP decoder.

•Apr 1, 2014•0 citations
In this paper, we propose a message passing decoding algorithm which lowers decoding error rates in the error floor regions for non-binary low-density parity-check (LDPC) codes transmitted over the binary erasure channel (BEC) and the memoryless binary-input output-symmetric (MBIOS) channels. In the case for the BEC, this decoding algorithm is a combination with belief propagation (BP) decoding and maximum a posteriori (MAP) decoding on zigzag cycles, which cause decoding errors in the error floor region. We show that MAP decoding on the zigzag cycles is realized by means of a message passing algorithm. Moreover, we extend this decoding algorithm to the MBIOS channels. Simulation results demonstrate that the decoding error rates in the error floor regions by the proposed decoding algorithm are lower than those by the BP decoder.
In this paper, we propose a decoding algorithm which lowers decoding erasure rates in the error floor regions for non-binary low-density parity-check codes transmitted over the binary erasure channels. This decoding algorithm is a combination with belief propagation (BP) decoding and maximum a posteriori (MAP) decoding on zigzag cycles, which cause decoding erasures in the error floor region. We show that MAP decoding on the zigzag cycles is realized by means of a message passing algorithm. A simulation result shows that the decoding erasure rates in the error floor regions by the proposed decoding algorithm are lower than those by the BP decoder.
In this paper, we propose a message passing decoding algorithm which lowers decoding error rates in the error floor regions for nonbinary low-density parity-check (LDPC) codes transmitted over the binary erasure channel (BEC) and the memoryless binary-input output-symmetric (MBIOS) channels.In the case for the BEC, this decoding algorithm is a combination with belief propagation (BP) decoding and maximum a posteriori (MAP) decoding on zigzag cycles, which cause decoding errors in the error floor region.We show that MAP decoding on the zigzag cycles is realized by means of a message passing algorithm.Moreover, we extend this decoding algorithm to the MBIOS channels.Simulation results demonstrate that the decoding error rates in the error floor regions by the proposed decoding algorithm are lower than those by the BP decoder.