Yindi Jing

Area of Study / Keywords

Communications Engineering Signal Processing Canada Research Chair

About

Yindi Jing is a Professor and Tier 1 Canada Research Chair in Wireless Communications with the Department of Electrical and Computer Engineering at the University of Alberta. She received the Ph.D. in electrical engineering from California Institute of Technology.

Research

Massive MIMO systems, cooperative relay networks, channel estimation, detection, large intelligent surface (LIS).

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

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 380 - Introduction to Communication Systems

Basics of analog communication: amplitude, angle, and analog pulse modulation; modulators and demodulators; frequency multiplexing. Basics of digital communication: sampling, quantization, pulse code modulation, time division multiplexing, binary signal formats. Prerequisite: ECE 240 or E E 238. Credit may be obtained in only one of ECE 380 or E E 390.

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