[1] 国家自然科学基金面上项目，面向物联网感知层低功耗可靠通信的超低存储容量译码器结构设计及实现(61671390)，主持，在研 [2] 国家博士后科学基金第57批面上一等资助项目，WSNs中基于平滑差分的低功耗Turbo码译码器结构设计(2015M570776)，主持，已完成 [3] 重庆市基础与前沿研究计划项目，双二元卷积Turbo码中基于非线性增量压缩位宽的低功耗译码技术研究(cstc2013jcyjA40021)，主持，已完成 [4] 863重大研究项目，基于物理层的未来无线增强安全通信技术研究(2015AA01A707)，主研，已完成 [5] 国家自然科学基金面上项目，基于物理层信道噪声辅助的轻重量密码算法设计技术研究(61572114)，主研，在研 [6] “十二五”预研项目，基于XX的编译码技术研究(06HJ7000435)，主研，已完成

[1] M. Zhan, Z. Pang, M. Xiao, H. Wen. A State Metric Compressed Decoding Technique for Turbo Decoder in Wireless Sensors Networks, EURASIP Journal on Wireless Communications and Networking, to appear [2] M. Zhan, J. Wu, H. Wen. An Optimized Resource Efficient Approximation of max* Operator for Recalculation in Turbo Code Decoder, 2017 5th International Conference on Enterprise Systems (ES), 2017, 168 -172 [3] 詹明，文红，伍军. LTE-Advanced标准中一种基于反向重算的低存储容量Turbo码译码器结构设计，电子学报，2017，Vol. 45, No. 7, 1584-1592 [4] M. Luvisotto, Z. Pang, D. Dzung, M. Zhan, and X. Jiang, Physical layer design of high performance wireless transmission for critical control applications, IEEE Transactions on Industrial Informatics, 2017, Vol. 13, No. 6, 2844-2854 [5] Ming Zhan，Jun Wu, Zhongzhi Zhang, Hong Wen and Jianjun Wu. Low-Complexity Error Correction for ISO/IEC/IEEE 21451-5 Sensor and Actuator Networks, IEEE Sensors Journal, 2015, Vol. 15, No. 5, pp. 2622-2630 [6] Ming Zhan, Jun Wu, Hong Wen. Reduced memory decoding schemes for Turbo decoding based on storing the index of the state metric, IET Communications, Vol. 8, No. 12, 2095-2105, 2014 [7] Ming Zhan, Jun Wu, Liang Zhou, Zhenyu Zhou. A memory access decreased decoding scheme for double binary convolutional Turbo code, IEICE Transactions on Fundamentals, Vol. E96-A, No. 8, 1812-1816, 2013

[1] 国家发明专利，一种低存储容量的Turbo码译码器及其设计方法，授权编号：ZL 2014 1 0199648.6 [2] 国家发明专利，LTE-Advanced标准中低存储容量Turbo码译码器及方法，申请号：201610006354.6