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Curricular information is subject to change
On successful completion of this subject the student will be able to:
1. Explain the mathematical basis for the frequency content of a signal with particular reference to the Fourier series and the Fourier transform.
2. Explain the mathematical basis of the frequency response of a linear, time-invariant system, continuous-time (analog) or discrete-time.
3. Derive mathematical models for and analyse the response of linear, time-invariant systems, continuous-time (analog) or discrete-time.
4. Effectively solve linear, constant coefficient ordinary differential and difference equations.
5. Effectively employ MATLAB, Python or both in the analysis of signals and systems.
The topics outlined in the content will be complemented with examples. Computer-based simulations and experiments will complement the learning.
Lec. 0: Background Mathematics: calculus and algebra of complex numbers.
Lec. 1 – Lec. 3: Introduction, linearisation and motivation.
Lec. 4: Introduction to frequency response and partial sample report.
Lec. 5: Linear, Time-invariant Systems.
Lec. 6: Dirac Delta function, Convolution Integral and Impulse Response.
Lec. 7: Definition of Laplace Transform.
Lec. 8 – Lec. 13: Laplace Transform and solution of linear, constant coefficient ordinary differential equations.
Lec. 14: Laplace Transform and Frequency Response.
Lec. 15 – Lec. 17: Fourier Series.
Lec. 18 – Lec. 19: Fourier Series and Numerical Fourier Series.
Lec. 20: Fourier Analysis.
Lec. 21: Fourier Transform.
Lec. 22: Numerical Fourier Transform
Lec. 23 : Discrete-time Linear, Time-invariant Systems.
Lec. 24 – Lec. 25: Z-Transform.
Lec. 26: Discrete-time Fourier Series.
Lec. 27: Discrete-time Fourier Transform.
Lec. 28: Discrete-time Fourier Analysis.
Week 1: Practical Computer Laboratory: introduction to MATLAB/Python
Week 2: Practical Computer Laboratory: specialised MATLAB/Python for Signals and Systems
Week 5: Practical Computer Laboratory: Laplace Transform
Week 8: Practical Computer Laboratory: Fourier Theory
Week 11: Practical Computer Laboratory: Discrete-time systems
Student Effort Type | Hours |
---|---|
Lectures | 28 |
Laboratories | 10 |
Specified Learning Activities | 17 |
Autonomous Student Learning | 58 |
Total | 113 |
Differential and Integral Calculus to advanced level 1 or better.
Differential Equations to advanced level 1 or better.
Algebra, vectors and complex numbers to advanced level 1 or better.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Report(s): Practical/Computer Laboratory occurs in week 11 with report due end of week 12. | n/a | Graded | No | 33 |
|
Report(s): Practical/Computer Laboratory in week 5, report due end of week 6. | n/a | Graded | No | 33 |
|
Report(s): Practical/Computer Laboratory occurs in week 8, report due end of week 9. | n/a | Graded | No | 33 |
Resit In | Terminal Exam |
---|---|
Spring | No |
• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Grading Scheme included with laboratory description. Individual feedback on progress within associated laboratory offering. Graded reports available when full set of reports graded, with some individual feedback in annotated reports. Common errors document made available to class on Brightspace after release of grades including more general feedback to class as a whole.