Sheng Tong
Associate Professor, State Key Lab of ISN, Xidian University, P. R. China
Email: ts_xd@163.com
Dr. Sheng Tong is currently an Associate Professor with State Key Lab. of ISN, Xidian University, Xi'an, China. He received the B.Eng. degree, Master, and Ph.D. degrees from Xidian University in 2001, 2004, and 2006, respectively. Since 2007, he has been a lecturer with Xidian University. In 2011, he was promoted as an Associate Professor.
Research Interests:
Courses:
Selected Publications:
[1] Sheng Tong, Huijuan Zheng, and Baoming Bai, “Precoded Turbo code within 0.1 dB of the Shannon limit,” Electronics Letters, pp. 521-522, vol. 47, no. 8, April, 2011.
[2] Shulin Che and Sheng Tong, “Low-complexity LDPC coded BICM-ID with orthogonal modulations,” Electronics Letters, pp.845–846, vol. 45, no. 16, July 2009.
[3] Dengsheng Lin, Sheng Tong, and Shaoqian Li, “Joint linear interleaver design for concatenated zigzag codes,”Electronics Letters, pp. 1149-1150, vol.44, no.19, 2008.
[4] Sheng Tong, Dengsheng Lin, Aleksandar Kavcic, Li Ping, and Baoming Bai, “On the performance of short forward error-correcting codes,” IEEE Communications Letters, pp.880-882, vol.11, no.11, 2007.
[5] Sheng Tong, Shanxu Zhang, Baoming Bai, Xinmei Wang, “Fast encodable and decodable irregular repeat accumulate codes from circulant permutation matrices,” Electronics Letters, pp.48-49, vol.43, no.1, Jan. 2007.
[6] Sheng Tong and Xinmei Wang, “A simple convergence comparison of Gallager codes under two message-passing schedules,” IEEE Communications Letters, pp.249-251, Mar. 2005.
[7] Sheng Tong, Baoming Bai, and Xinmei Wang, “Convergence rates comparison of sum-product decoding of RA codes under different message-passing schedules,” IEEE Communications Letters, pp.543-545, Jun. 2005.
[8] Sheng Tong, Peng Wang, Dan Wang, and Xinmei Wang, “Box-minus operation and its application in the sum-product algorithm,” Electronics Letters, pp.197-198, vol.41, no. 4, Feb. 2005.
[9] Sheng Tong, “Tangential sphere bounds on the ensemble performance of ML decoded Gallager codes via their exact ensemble distance spectrum,” in Proc. ICC08, Beijing, 19-23 May, 2008, pp. 1150-1154.