Mathematics of signals: introduction to signal analysis tools and examination of mathematical methods of signal representation and analysis. Different tools of signal processing are presented to serve as a basis for courses on automation and sampled systems.
Signal processing: acquisition of the basics of digital signal processing (sampling, DFT, FFT, TFF, CWT)
| On completion of the unit, the student will be capable of: | Classification level | Priority |
|---|---|---|
| Mastering signal analysis tools | 2. Understand | Important |
| Mastering signal analysis tools | 4. Analyse | Important |
| Digital signal processing | 2. Understand | Important |
| Digital signal processing | 3. Apply | Important |
| Digital signal processing | 7. Create | Important |
| Percentage ratio of individual assessment | Percentage ratio of group assessment | ||||
|---|---|---|---|---|---|
| Written exam: | 100 | % | Project submission: | % | |
| Individual oral exam: | % | Group presentation: | % | ||
| Individual presentation: | % | Group practical exercise: | % | ||
| Individual practical exercise: | % | Group report: | % | ||
| Individual report: | % | ||||
| Other(s): % | |||||
| Type of teaching activity | Content, sequencing and organisation |
|---|---|
| Course | Introduction, Distributions, Convolution |
| Course | Complex analysis (Analytic functions, Laurent series development, Residues), Fourier Transforms |
| Supervised studies | Convolution |
| Supervised studies | Complex Analysis |
| Course | Fourier transforms (contd.) Laplace transforms, Z-transforms, random signals (DSP of stationary and ergodic signals) |
| Supervised study | Transforms |
| Course | Notion of signal, Digitalisation (part-1 : sampling) |
| Course | Digitalisation (part-2&3 : quantification, coding), Digitalisation of real signals |
| Course | Digital processing ( FFT, STFF, CWT, DWT ) |