A self-adaptive scaled min-sum algorithm for LDPC decoding based on the difference between the first two minima of the check node messages (Amin) is proposed. Amin is utilized for adjusting the scaling factor of the check node messages, and simulation results show that the proposed algorithm improves the error correcting performance compared to existing algorithms.This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2015R1D1A1A09061079). The authors also would like to give their special thanks to Prof. Dong-Joon Shin (Hanyang University, Seoul, Korea) for useful discussion
This paper proposes a low-complexity min-sum algorithm for decoding low-density parity-check codes. ...
The objective of this work is to propose a modified Min-Sum decoding Low Density Parity Check (LDPC)...
The effects of clipping and quantization on the performance of the min-sum algorithm for the decodin...
Among various decoding algorithms of low-density parity-check (LDPC) codes, the min-sum (MS) algorit...
International audienceAn adaptive scaling strategy is proposed for counterbalancing LLR overestimati...
International audienceAn adaptive scaling strategy is proposed for counterbalancing LLR overestimati...
International audienceAn adaptive scaling strategy is proposed for counterbalancing LLR overestimati...
This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published arti...
International audienceMin-Sum decoding (MS) is an alternative to belief propagation decoding with su...
International audienceMin-Sum decoding (MS) is an alternative to belief propagation decoding with su...
Abstract ― Low Density Parity Check (LDPC) code approaches Shannon–limit performance for binary fiel...
This paper presents a resource efficient LDPC decoder architecture. The algorithm used for decoding ...
This paper presents a novel approach for the reduced-complexity Min-Sum (MS) decoding of low density...
As 4G mobile communication systems require high transmission rates with reliability, the need for ef...
This paper is concerned with the implementation issues of the so-called min-sum algorithm (also refe...
This paper proposes a low-complexity min-sum algorithm for decoding low-density parity-check codes. ...
The objective of this work is to propose a modified Min-Sum decoding Low Density Parity Check (LDPC)...
The effects of clipping and quantization on the performance of the min-sum algorithm for the decodin...
Among various decoding algorithms of low-density parity-check (LDPC) codes, the min-sum (MS) algorit...
International audienceAn adaptive scaling strategy is proposed for counterbalancing LLR overestimati...
International audienceAn adaptive scaling strategy is proposed for counterbalancing LLR overestimati...
International audienceAn adaptive scaling strategy is proposed for counterbalancing LLR overestimati...
This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published arti...
International audienceMin-Sum decoding (MS) is an alternative to belief propagation decoding with su...
International audienceMin-Sum decoding (MS) is an alternative to belief propagation decoding with su...
Abstract ― Low Density Parity Check (LDPC) code approaches Shannon–limit performance for binary fiel...
This paper presents a resource efficient LDPC decoder architecture. The algorithm used for decoding ...
This paper presents a novel approach for the reduced-complexity Min-Sum (MS) decoding of low density...
As 4G mobile communication systems require high transmission rates with reliability, the need for ef...
This paper is concerned with the implementation issues of the so-called min-sum algorithm (also refe...
This paper proposes a low-complexity min-sum algorithm for decoding low-density parity-check codes. ...
The objective of this work is to propose a modified Min-Sum decoding Low Density Parity Check (LDPC)...
The effects of clipping and quantization on the performance of the min-sum algorithm for the decodin...