Joint source-channel coding (JSCC) has been confirmed to achieve significant coding gain over the separate coding in finite block-length transmission. Although JSCC based on double protograph low-density parity-check (DP-LDPC) codes has been shown to be a good solution for JSCC, it still needs to be optimized to achieve a good bit error rate (BER) performance by means of coding and decoding. In this talk, I will present our global perspective in system design and share the new design principles and methods for the purpose of low decoding threshold and low error-floor.

Lin Wang received the Ph.D. degree in electronics engineering from the University of Electronic Science and Technology of China, China, in 2001. From 1984 to 1986, he was a Teaching Assistant with the Mathematics Department, Chongqing Normal University. From 1989 to 2002, he was a Teaching Assistant, a Lecturer, and then an Associate Professor in applied mathematics and communication engineering with the Chongqing University of Post and Telecommunication, China. From 1995 to 1996, he spent one year with the Mathematics Department, University of New England, Australia. In 2003, he spent three months as a Visiting Researcher with the Center for Chaos and Complexity, Department of Electronic Engineering, City University of Hong Kong. In Jan to July, 2013, he was a Senior Visiting Researcher with the Department of ECE, UC Davis. From 2002 to current, he was a full Professor with the School of Information Science and Engineering, Xiamen University, China. He had been a Distinguished Professor with Xiamen University from 2012-2017. He has authored over 150 journal (including over 40 IEEE Journal papers) and conference papers. He holds 14 patents in physical layer in digital communications. He is senior member of IEEE and he was general co-chairs/TPC co-chairs in IEEE conferences. His current research interests include channel coding, joint source and channel coding, chaos modulation, and their applications to wireless communication and storage systems.