Yindi Jing

Professor, Faculty of Engineering - Electrical & Computer Engineering Dept

Contact

Professor, Faculty of Engineering - Electrical & Computer Engineering Dept
Email
yindi@ualberta.ca
Phone
(780) 492-9286
Address
5-295 Donadeo Innovation Centre For Engineering
9211 116 St
Edmonton AB
T6G 2H5

Overview

Area of Study / Keywords

Communications Engineering Signal Processing


About

Yindi Jing received the B.Eng. and M.Eng. degrees in automatic control from the University of Science and Technology of China, Hefei, China, in 1996 and 1999, respectively. She received the M.Sc. degree and the Ph.D. in electrical engineering from California Institute of Technology, Pasadena, CA, in 2000 and 2004, respectively. From October 2004 to August 2005, she was a postdoctoral scholar at the Department of Electrical Engineering of California Institute of Technology. Since February 2006 to June 2008, she was a postdoctoral scholar at the Department of Electrical Engineering and Computer Science of the University of California, Irvine. In 2008, she joined the Electrical and Computer Engineering Department of the University of Alberta, where she is currently a professor.


Research

Massive MIMO systems, cooperative relay networks, channel estimation, detection, reconfiguration intelligent surfaces (RIS).

http://www.ece.ualberta.ca/~yindi/

Courses

ECE 342 - Probability for Electrical and Computer Engineers

Deterministic and probabilistic models. Basics of probability theory: random experiments, axioms of probability, conditional probability and independence. Discrete and continuous random variables: cumulative distribution and probability density functions, functions of a random variable, expected values, transform methods. Pairs of random variables: independence, joint cdf and pdf, conditional probability and expectation, functions of a pair of random variables, jointly Gaussian random variables. Sums of random variables: the central limit theorem; basic types of random processes, wide sense stationary processes, autocorrelation and crosscorrelation, power spectrum, white noise. Prerequisite: MATH 209. Credit may be obtained in only one of ECE 342 or E E 387.


ECE 486 - Wireless Communications

Characteristics of wireless channels; path loss, shadow fading and multipath propagation. Challenges in wireless system design, digital modulation techniques for wireless communications, transmitter and receiver design for fading channels. Fundamentals of cellular system design and multiple access techniques. Prerequisites: ECE 342 or E E 387, and ECE 380 or E E 390. Credit may be obtained in only one of ECE 486 or E E 486.


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