Advanced Digital Signal Processing
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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