PDF documents of the slides are available here. Many thanks to Luca Lucchese for granting me permission to use and modify his originals.

Some detailed notes were generated during the course in previous years, and appear below. These will possibly be updated and augmented through the duration of the course:

- Introduction (2up).
- Signals (2up).
- Systems (2up).
- Fourier series (2up).
- Fourier transform (2up).
- Filtering (2up).
- Laplace transform (2up).

These notes are licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. Latex source for producing them can be downloaded here. |

Additional examples and slides used in lectures:

- MATLAB convolution demo:
**cconvdemo**on this page. - Fourier series demo: demo_fourierseries.m.
- Fourier transform from Fourier series demo: demo_fseries2ftform.m.
- Fourier reconstruction demo: demo_fourierreconstruct.m.
- System frequency response demo: demo_freqresp1.m.
- Frequency response for periodic input demo: demo_freqresp2.m.

Tutorials and other resources can be found below. You should work through them in your own time. They don't get submitted, but should be valuable to you.

**Signals as elements of a vector space**: slides, notes, 2up.- For interest only. This should make sense to you after we have covered the basic material for the Fourier series.
**Additional Fourier series**: slides, notes, 2up.- Knowing the Fourier series representation for a signal often lets you easily find the series representation for related signals. This tutorial explores this approach, and should make sense after we have covered the Fourier series.
**Systems in the time and frequency domain**: notes, 2up.- Example questions with discussion about possible solution methods. This should makes sense after we have covered the Fourier transform and its relation to systems.
**Fourier series and lowpass filtering**: slides, notes, 2up.- Demonstration of periodic signals being passed through simple systems, like a lowpass filter. This makes combined use of the Fourier series and the Fourier transform, and should make sense after both topics have been covered.

Past tests and exams can be found here.

- Some web links.
- Past tests and exams for the course.

Last modified: Mon Aug 7 11:32:36 SAST 2017