利用多边缘二分图代替传统的三分图,实现对低密度生成矩阵码(Low density generator matrix codes,LDGM码)的描述。基于多边缘二分图,提出多边缘置信度传播算法和滤波衰减消解方法,实现基于LDGM码的二进制信息压缩编码。仿真结果表明,...利用多边缘二分图代替传统的三分图,实现对低密度生成矩阵码(Low density generator matrix codes,LDGM码)的描述。基于多边缘二分图,提出多边缘置信度传播算法和滤波衰减消解方法,实现基于LDGM码的二进制信息压缩编码。仿真结果表明,该算法具有近香农限的压缩性能,并具有较低的复杂度。展开更多
In this paper, we propose to generalize the coding schemes first proposed by Kozic &al to high spectral efficient modulation schemes. We study at first Chaos Coded Modulation based on the use of small ...In this paper, we propose to generalize the coding schemes first proposed by Kozic &al to high spectral efficient modulation schemes. We study at first Chaos Coded Modulation based on the use of small dimensional modulo-MAP encoding process and we give a solution to study the distance spectrum of such coding schemes to accurately predict their performances. However, the obtained performances are quite poor. To improve them, we use then a high dimensional modulo-MAP mapping process similar to the low-density generator-matrix codes (LDGM) introduced by Kozic &al. The main difference with their work is that we use an encoding and decoding process on GF (2m) which enables to obtain better performances while preserving a quite simple decoding algorithm when we use the Extended Min-Sum (EMS) algorithm of Declercq &Fossorier.展开更多
文摘利用多边缘二分图代替传统的三分图,实现对低密度生成矩阵码(Low density generator matrix codes,LDGM码)的描述。基于多边缘二分图,提出多边缘置信度传播算法和滤波衰减消解方法,实现基于LDGM码的二进制信息压缩编码。仿真结果表明,该算法具有近香农限的压缩性能,并具有较低的复杂度。
文摘In this paper, we propose to generalize the coding schemes first proposed by Kozic &al to high spectral efficient modulation schemes. We study at first Chaos Coded Modulation based on the use of small dimensional modulo-MAP encoding process and we give a solution to study the distance spectrum of such coding schemes to accurately predict their performances. However, the obtained performances are quite poor. To improve them, we use then a high dimensional modulo-MAP mapping process similar to the low-density generator-matrix codes (LDGM) introduced by Kozic &al. The main difference with their work is that we use an encoding and decoding process on GF (2m) which enables to obtain better performances while preserving a quite simple decoding algorithm when we use the Extended Min-Sum (EMS) algorithm of Declercq &Fossorier.
