Chintha Tellambura
Contact
Professor, Faculty of Engineering  Electrical & Computer Engineering Dept
 ct4@ualberta.ca
 Phone
 (780) 4927228
 Address

11340 Donadeo Innovation Centre For Engineering
9211116 StEdmonton ABT6G 2H5
Overview
Area of Study / Keywords
Communications Engineering Signal and Image Processing
About
Chintha Tellambura received his BSc degree in Electronics & Telecommunication Engineering (with firstclass 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
Research Interests
His research interests include cognitive radios, detection and estimation, diversity and fading countermeasures, multipleinput multipleoutput (MIMO) systems, multiuser communications, orthogonal frequency division multiplexing (OFDM), and relayassisted/cooperative communications.
Current Research
 Twoway relay networks
 Cognitive radios
 MIMO systems
 OFDM
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 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.
ECE 502  Probability and Random Processes for Electrical Engineers
Review of probability theory, random variables, probability distribution and density functions, characteristic functions, convergence of random sequences, and laws of large numbers. Analysis of random processes, including stationarity, ergodicity, autocorrelation functions power spectral density, and transformation of random processes through linear systems. Application to communication systems.
MINT 700A  The Physical Layer
Communication media, including copper, optical fiber and wireless. Modulation and coding standards. Framing. Error control techniques. MAN and WAN physical layers, including PDH, SONET/SDH, aATM, cable modems, xDSL, AMPS, GSM, GPRS, etc. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.
MINT 700B  The Physical Layer
Communication media, including copper, optical fiber and wireless. Modulation and coding standards. Framing. Error control techniques. MAN and WAN physical layers, including PDH, SONET/SDH, aATM, cable modems, xDSL, AMPS, GSM, GPRS, etc. Offered jointly by the Department of Electrical and Computer Engineering and the Department of Computing Science.