This course encourages students to develop in'depth knowledge and critical awareness of theoretical, as well as practical, solutions to problems at the forefront of the communication and processing of signals.
Modules include: advanced communication theory; digital signal processing and filters; probability and stochastic processes; spectral estimation and adaptive signal processing. Optional modules include: coding theory; information theory; digital image processing; speech processing; machine learning for computer vision; wavelets and applications; distributed computation and networks; network and web security; optical communications; traffic theory and queuing systems; wireless communications.
Course Additional Entry
A high 1st Class (1st) Honours degree (75 per cent +) in electrical engineering or a related subject.
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