The Signal Processing and Communications Laboratory is home to 6 Faculty members and some 35 research staff and research students. There is a strong emphasis on Bayesian computational methodology, for example sequential Monte Carlo (particle filters) and Markov chain Monte Carlo (MCMC), as well as geometric algebra and multi-resolution (wavelet) methods, for signal analysis and reconstruction. Information theory, coding, and data compression are also prominent research themes.
An overview of the laboratory, and a list of current research themes and projects are available. If you are interested in engaging in collaborative research, or joining the group as a student or visitor, you may wish to contact a member of staff whose interests are similar to your own.
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