Faculty
Professor
Lutz Lampe
Lutz Lampe is a Professor with the Department of Electrical and Computer Engineering at UBC. He received PhD degree in electrical engineering from the University of Erlangen, Germany, in 2002. His research interests are broadly in theory and application of wireless, power line, optical and underwater acoustic communications, including personal communications, machine-to-machine communications, and communications for smart grids.
Dr. Lampe has received a number of UBC and international awards for his scholarly contributions. He has been an Associate Editor for several international journals, General Chair of the Smart Grid Communications, International Power Line Communications and Ultra-Wideband Communications conferences, and he is the present Chair of the IEEE Communications Society Technical Committee on Power Line Communications. He is Co-Editor of the book Power Line Communications.
Research Areas
Research Groups
Courses
| ELEC 221 |
Signals and Systems Complex numbers, LTI systems, convolution sum, discrete-time Fourier series and transforms, z-transform, sampling, introduction to filtering and modulation, feedback systems, stability. [3-0-2] |
| ELEC 321 |
Stochastic Signals and Systems Stochastic behaviour of signals and systems (eg., communication systems); discrete and continuous probability; random processes; modeling and identification of linear time-invariant systems; binary hypothesis testing and decision making. [3-0-2]. Prerequisite ELEC 221 - Signals and Systems Equivalency STAT 321 - Stochastic Signal and Systems |
| ELEC 400M |
Machine Learning Fundamentals for Engineers This is a Special Topics course focusing on foundations and concepts of machine learning and its applications to engineering problems. Students are expected to have obtained a solid background in probability and random variables, as demonstrated by successfully completing one of the following courses: ELEC/STAT 321, MATH/STAT 302, MATH 318. This course can be applied towards the advanced electives requirement of the BASc in Electrical Engineering program and the BASc in Computer Engineering program. Further, credit will be granted for only one of: ELEC 400M, CPSC 330, CPSC 340. |
| EECE 571M |
Machine Learning Fundamentals for Engineers This is a Special Topics course focusing on foundations and concepts of machine learning and its applications to engineering problems. Students are expected to have obtained a solid background in probability and random variables, as demonstrated by successfully completing one of the following courses: ELEC/STAT 321, MATH/STAT 302, MATH 318. |
Latest Publications
| 2016 |
Digital Transmission Techniques Journal Article | Power Line Communications: Principles, Standards and Applications from Multimedia to Smart Grid |
| 2016 |
Channel Characterization Journal Article | Power Line Communications: Principles, Standards and Applications from Multimedia to Smart Grid |
| 2008 |
Decoding with Early Termination for Raptor Codes Journal Article | Communications Letters, IEEE |
| 2008 |
Performance of concatenated coded IR-UWB in the presence of multiple-access interference Conference Paper | Signals, Systems and Computers, 2008 42nd Asilomar Conference on |
| 2008 |
Comparison of detectors for multiple-access interference mitigation in TH-IR UWB Conference Paper | Ultra-Wideband, 2008. ICUWB 2008. IEEE International Conference on |
| Show more |
Contact
Office: KAIS 4111The University of British Columbia
4111 - 2332 Main Mall
Vancouver BC V6T 1Z4
Canada
http://www.ece.ubc.ca/~lampe
