Chintha Tellambura

Professor, Faculty of Engineering - Electrical & Computer Engineering Dept


Professor, Faculty of Engineering - Electrical & Computer Engineering Dept
(780) 492-7228
11-340 Donadeo Innovation Centre For Engineering
9211-116 St
Edmonton AB
T6G 2H5


Area of Study / Keywords

Communications Engineering Signal and Image Processing


Chintha Tellambura received his BSc degree in Electronics & Telecommunication Engineering (with first-class honors) from the University of Moratuwa, Sri Lanka, in 1986, and his MSc degree in Digital Electronics from the University of London, U.K., in 1988. In 1993, he received a PhD degree in Electrical Engineering from the University of Victoria, BC, Canada. He was a Postdoctoral Research Fellow with the University of Victoria (1993–1994) and the University of Bradford (1995–1996). He served as a lecturer (January 1997–December 1998) and a senior lecturer (January 1999–June 2002) with Faculty of Information Technology, Monash University, Melbourne, Australia, before joining the University of Alberta as an Associate Professor (July 2002–June 2006), where he is now a Professor. He serves as an Associate Editor for the IEEE Transactions on Communications and an Area Editor for the IEEE Transactions on Wireless Communications. He is a Fellow of IEEE and the University of Alberta Killam Professor for 2010–2011.


Research Interests

His research interests include cognitive radios, detection and estimation, diversity and fading countermeasures, multiple-input multiple-output (MIMO) systems, multiuser communications, orthogonal frequency division multiplexing (OFDM), and relay-assisted/cooperative communications.

Current Research

  • Two-way relay networks
  • Cognitive radios
  • MIMO systems
  • OFDM


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 780 - Advanced Topics in Communications

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