课程号：TE206002

课程名：随机信号处理

英文课程名：Random signal processing

开课单位：通信工程学院

授课教师：Julian Cheng

责任教师：司江勃   王丹洋

学分/学时：1学分/16学时

教师简介：Julian Cheng，IEEE 高级会员，加拿大英属哥伦比亚大学应用科学学院工程学院的全职教授。研究兴趣包括衰落信道上的数字通信、无线应用的统计信号处理、光无线通信和5G无线网络。他是2011年第12届加拿大信息理论研讨会、2016年第28届两年一度的通信研讨会和第6届EAI网络游戏理论国际会议（GameNets 216）的联合主席。他目前是IEEE Transactions on Communications的领域编辑，同时也是IEEE Transactions on Communications, the IEEE Transactions on Wireless Communications, IEEE Communications Letters和IEEE Access的副主编，曾任IEEE Journal on Selected Areas in Communications光无线通信专刊的客座编辑。现任加拿大信息理论学会主席以及IEEE通信学会无线电通信技术委员会秘书。Julian Cheng, IEEE Senior Member, is currently a Full Professor with the School of Engineering, Faculty of Applied Science, University of British Columbia, Kelowna, BC, Canada. His current research interests include digital communications over fading channels, statistical signal processing for wireless applications, optical wireless communications, and 5G wireless networks. He was the Co-Chair of the 12th Canadian Workshop on Information Theory in 2011, the 28th Biennial Symposium on Communications in 2016, and the 6th EAI International Conference on Game Theory for Networks (GameNets 216). He currently serves as an Area Editor for the IEEE Transactions on Communications. He was an Associate Editor of the IEEE Transactions on Communications, the IEEE Transactions on Wireless Communications, IEEE Communications Letters, and IEEE Access. He served as a Guest Editor for a Special Issue on Optical Wireless Communications of IEEE Journal on Selected Areas in Communications. He currently serves as the President of the Canadian Society of Information Theory as well as the Secretary for the Radio Communications Technical Committee of IEEE Communications Society.

课程简介：结合信号分析与处理的相关物理概念介绍概率论和随机过程的基本知识以及随机信号的特点和分析方法。主要内容有：随机信号基础，随机过程的基本概念、平稳过程、相关函数和互协方差互相关函数、功率谱密度函数、最小均方误差估计、假设检验问题、信号检测等。Combining the relevant physical concepts of signal analysis and processing, to introduce the basic knowledge of probability theory and stochastic process, as well as the characteristics and analysis methods of stochastic signals. The main contents are: basics of random signals, basic concepts of random processes, stationary processes, correlation functions and cross-covariance cross-correlation functions, power spectral density functions, minimum mean square error estimation, hypothesis testing problems, signal detection, etc.

先修课程：概率论、信号与系统