Decoding Nonbinary LDPC Codes via Proximal-ADMM Approach
报告专家：王勇超
报告时间：9月21日星期三晚上8：30-9：30
报告地点：腾讯会议：286-743-243
摘要：In this work, we focus on decoding nonbinary low-density parity-check (LDPC) codes in Galois fields of characteristic two via the proximal alternating direction method of multipliers (proximal-ADMM). By exploiting Flanagan/Constant-Weighting embedding techniques and the decomposition technique based on three-variables parity-check equations, two efficient proximal-ADMM decoders for nonbinary LDPC codes are proposed. We show that both of them are theoretically guaranteed convergent to some stationary point of the decoding model and either of their computational complexities in each proximal-ADMM iteration scales linearly with LDPC code's length and the size of the considered Galois field. Moreover, the decoder based on the Constant-Weight embedding technique satisfies the favorable property of codeword symmetry. Simulation results demonstrate their effectiveness in comparison with state-of-the-art LDPC decoders.
专家简介：王勇超，教授，博士生导师，西安电子科技大学华山学者特聘教授， ISN国家重点实验室有组织科研自由探索成员，IEEE/中国电子学会/中国通信学会高级会员。2008年9月至2009年12月美国明尼苏达大学博士后/访问学者，2016年3月至2017年3月美国普渡大学访问学者。主要研究方向为信号处理、数学优化方法在无线通信中的应用及相关技术的工程实现。主持包括国家自然科学基金在内的科研课题二十余项（近两年合同金额逾千万元），在IEEE通信信号处理主流学术期刊发表学术论文二十余篇，申请发明专利30余项，授权24项。
