Last modified: 25 May 2018 11:16
How can the dynamic behaviour of a mechanical mass-spring-damper system be similar to an electrical resistance-capacitance-inductance circuit? Motivated by this question, this course introduces the signals – systems framework that helps in describing the dynamic behaviour of systems for a variety of inputs (signals). Useful analysis tools both in the frequency- and the time-domain are also introduced. In the later part of the course, these concepts will be used to understand basic signal processing in the form of both analog and digital filter design.
|Session||First Sub Session||Credit Points||15 credits (7.5 ECTS credits)|
The syllabus includes the following topics:
1. Signals: Classification, Properties, Basic Signal Construction, Sampling, Time and frequency-domain representation, Convolution, auto and cross-correlation
2. Systems: Classification, Properties, Impulse Response of LTI systems, LTI system response to arbitrary inputs, Revise Fourier and Laplace transforms, DFT, LTI systems in frequency domain
3. Filters: A/D – D/A conversion, Quantization and Round-off, Noise classifications, Typical filter characteristics and specifications, FIR and IIR filters, Analog and Digital filter design
4. Applications: RLC Circuit Analysis using Laplace Transforms, Phase Locked Loop
This is the total time spent in lectures, tutorials and other class teaching.
The continuous assessment will be based on student performance during the lab sessions, the quality of the lab note-book as well as the submitted lab reports (10%) and assignment / tutorial submissions (10%).
Penalties for late or non-submission of in-course work are as follows:
For late submission, 1
CAS mark will be deducted for each late day
(ii) For non-submission, a CAS mark of 0 will be awarded
If late or non-submission is due to medical or other circumstances out-with your control you must submit a medical certificate or other formal evidence to the School Office as soon as is practicable but no later than the end of Revision Week.