Digital Signal Processing (H6100)
Digital Signal Processing
Module H6100
Module details for 2025/26.
15 credits
FHEQ Level 6
Module Outline
The module is to cover DSP topics, including Digital signals and sampling requirements, Basic types of digital signals, Quantization error
It is followed by the topics: Time-domain analysis, including Linear-time-invariant system, Block Diagram for LTI systems, Impulse response, Convolution sum, Difference equations. For Frequency-domain analysis: it includes The discrete Fourier Series, Fourier transform of aperiodic digital sequences, Frequency responses.
The z transform topic includes z-transform and inverse z-transform, z-transform properties, z-plane pole-zero representations, Stability of a system, Evaluation of the Fourier Transform in Z-Plane, Characteristics of 1st and 2nd Order Systems.
For Filter design topic, it includes Non-recursive (FIR) filters, Fourier technique of designing non-recursive filters, Truncation and Windowing, Recursive (IIR) filter design, Bilinear transformation methods
Discrete Fourier transform (DFT) and its relation to CFT, Fast Fourier transform (FFT), Basic Spectral Analysis, Spectra of Harmonics, Spectral leakage, Windowing, and Effects of Windows, introduction to random digital signals are also to be covered.
AHEP4 Learning Outcomes
C1, C2, C3, C4, C12, M1, M2, M3, M4, M12
Pre-Requisite
Systems Analysis and Control
Library
1 Lynn P A, Fuerst W, Introductory Digital Signal Processing with Computer Applications,
John Wiley & Sons, ISBN: 0-471-97631-8
2 Denbigh P, System Analysis and Signal Processing, Addision-Wesley, ISBN:0-201-17860-5
3 Mulgrew B and Grant P, Digital Signal Processing, PALGRAVE, ISBN 0-333-74531-0
4 Cristi R, Modern Digital Signal Processing, Thomson Books/Cole, ISBN 0-534-40095-7
5 Proakis SG and Manolakis DG, Digital Signal Processing, Prentice Hall, 3ed,
ISBN: 0-13-394289-9.
6 Chen C-T, Digital Signal Processing, Oxford University Press, ISBN 0-19-513638-1
Module learning outcomes
Represent basic digital signals, sampling requirement and relationships between the input and output for linear digital systems in time, frequency and z-domains
Know how to design non-recursive and recursive filters
Understand discrete Fourier transform algorithm and to use for analysing signals
Use software tool to process digital signals and analyse digital systems
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 20.00% | |
| Coursework components. Weighted as shown below. | ||
| Report | T2 Week 8 | 50.00% |
| Report | T2 Week 10 | 50.00% |
| Computer Based Exam | Semester 2 Assessment | 80.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Spring Semester | Lecture | 2 hours | 11111111111 |
| Spring Semester | Laboratory | 3 hours | 00000001010 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr William Wang
Assess convenor
/profiles/101946
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