Digital Signal Processing
Description
Digital Signal Processing (DSP) is about analysing and manipulating real-world signals such as audio, images, or data from sensors. This module introduces fundamental DSP concepts, algorithms and mathematical techniques, applying these to real-world applications in audio, image and/or data processing, and using open source software such as Python and selected Python libraries.
Learning Outcomes
Apply fundamental mathematical and algorithmic techniques to signals.
Characterise discrete-time signals and systems, in time and frequency domains.
Select and analyse fundamental signal processing algorithms.
Implement and evaluate audio, image and/or data processing algorithms using industry standard software.
Display an appreciation of performance and sustainability considerations.
Present DSP work for professional participation & review.