报告题目: Research challenges of LDPC Codes

报告人：Prof. Francis LAU （刘重明 教授）

单位：香港理工大学

报告时间：2014年 11月11日下午 15:00 - 17:00

报告地点：校学术活动中心二楼小报告厅

报告摘要：

Low-density parity-check (LDPC) codes have form a very powerful category of error-correction codes. They can accomplish error-correction capabilities approaching the Shannon's limits. Consequently, LDPC codes have become promising candidate codes for current and future-generation wireless systems. For example, they have been adopted for wireless local area network (WLAN), wireless metropolitan area networks (WMAN) and satellite TV in IEEE 802.11n, IEEE 802.16e (WiMAX) and DVB-S2 standards, respectively. In addition, LDPC codes can be used in data storage for encoding and decoding data.

In this talk, we begin by reviewing the characteristics of LDPC codes and the techniques used for evaluating the theoretical performance of the codes. We then discuss some practical issues in the design/evaluation of LDPC codes and present some of our proposed solutions. Finally, we introduce some research directions of LDPC codes.

个人简介：

Francis C.M. Lau received the PhD degree from King’s College London, University of London, UK. He is current a professor at the Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong.

Prof. Lau has published extensively in the area of communications. He is the co-author of three research monographs and a co-holder of four US patents. He has published over 250 research papers, including over 100 journal publications. Many of them appear in IEEE journals such as IEEE Journal on Selected Areas in Communications, IEEE Sensors Journal, IEEE Transactions on Circuits and Systems I, IEEE Transactions on Circuits and Systems II, IEEE Transactions on Communications, IEEE Transactions on Microwave Theory and Techniques, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Vehicular Technology, and IEEE Transactions on Wireless Communications. His main research interests include channel coding, cooperative networks, wireless sensor networks, chaos-based digital communications, applications of complex-network theories, and wireless communications.

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