会议专题

The Design of Binary Shaping Filter of Binary Code

In information theory, in order to maximize the total throughput, it is required that the codebook has an empirical distribution that maximizes the mutual information over the channel. In coding theory, however, most codes we can generate have Bernoulli (1/2) distribution. In this paper, we present a new coding scheme to efficiently generate binary codes with different distributions. Our main approach is to first encode the information bits by a linear code C, and then quantized the codeword to the closest codeword in another linear code Cs. The quantization error is then treated as the encoded codeword in our coding scheme. We discuss the practicality and advantage of such codes and give a design example.

Concatenated code Non-linear shaping LDPC

Shao-Lun Huang Yufei Blankenship Lizhong Zheng

Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Ca Huawei Tech. USA 3601 Algonquin Road, Suite 1000 Rolling Meadows, IL 60008, USA

国际会议

2010 IEEE International Conference Conferenhce on Wireless Communications,Networking and Information Security(2010 IEEE 无线通信、网络技术与信息安全国际会议 WCNIS)

北京

英文

1-5

2010-06-25(万方平台首次上网日期,不代表论文的发表时间)