ADVANCED DIGITAL SIGNAL PROCESSING (4 Credits)
Learning Outcomes:
On successful completion of this Course, students will be able to: explain the advanced concepts of DSP; apply the advanced concepts of DSP; relate the advanced concepts of DSP; combine the advanced concepts of DSP to solve/develop DSP problems/applications.
Topics:
- DSP Methods and Applications;
- Review of Sampling and Quantisation;
- Noise and Distortion;
- Information Theory and Probability Models;
- Bayesian Inference;
- Hidden Markov Models;
- Adaptive Filters;
- Compressive Sensing.
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