Last modified: 31 May 2022 13:19
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 analogue 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
Information on contact teaching time is available from the course guide.
Homework assignment (30%)
Lab report (30%)
Design Exercise (40%)
There are no assessments for this course.
|Knowledge Level||Thinking Skill||Outcome|
|Factual||Remember||ILO’s for this course are available in the course guide.|
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