| Credit Hours: | 3 |
| Course Learning Outcomes: |
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| Course Synopsis: | This course introduces the concepts of signal processing including transformations between continuous and discrete signals, time and frequency domains using fourier series and fourier transforms, and the characterization of linear systems via the laplace transform. The course elaborates on signal representations (continuous and discrete signals), elementary signals (unit impulse, unit step, real exponential, sinusoids, complex exponential signals), transformations of the independent variable (time-reversal, time-shift, time-scaling), fourier series representation of periodic signals and properties, fourier transform of signals, systems properties (linearity, causality, time-invariance, memory, stability), and Laplace transformation. |
| Assessment Weightage: | Continuous Assessment: 40% Final Examination: 60% |
Course resources will be made available on the SPeCTRUM site.
Last Update: 26/09/2022