2022/23 Taught Postgraduate Module Catalogue
ELEC5442M Digital Signal Processing for Communications
15 creditsClass Size: 60
Module manager: Dr. Des McLernon
Email: d.c.mclernon@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2022/23
This module is not approved as an Elective
Objectives
This module covers the fundamental principles of digital signal processing, and provides students with the skills to apply DSP techniques to a broad range of signal processing problems.Learning outcomes
On completion of this module students should be able to:
1. Explain the fundamental principles of digital signal processing (DSP).
2. Discuss a comprehensive range of applications of DSP in communications, including important parameters, limitations, etc.
3. Use the mathematical theories of DSP for both analysis and design.
4. Use DSP techniques to process signals that derive from random processes.
5. Discuss the advantages/disadvantages of various DSP implementations.
6. Explain how DSP algorithms can enhance the performance of cellular mobile radio.
Syllabus
Topics may include, but are not limited to:
Brief history of DSP and advantages of modern DSP applications
The sampling theorem, analogue-to-digital conversion, quantisation and limitations of DSP
Discrete-time signals and systems, linear convolution, linear difference equations (LDEs) and system frequency response
Discrete-Time Fourier Transform (DTFT), Z-transform, system pole/zero plots and stability analysis
Discrete Fourier Transform (DFT) and its relationship to circular convolution/OFDM/fast linear convolution/spectral analysis
The Fast Fourier Transform (FFT)
Introduction to discrete-time modelling, digital filter design, random processes and adaptive signal processing
Case studies taken from: wireless channel estimation/equalisation, linear predictive coding for speech compression, interpolation/decimation/multirate structures, MIMO signal processing applications, quadrature DSP, direction of arrival (DoA) estimation, software defined radio (SDR) and DSP applied to music
Teaching methods
| Delivery type | Number | Length hours | Student hours |
| Office Hour Discussions | 4 | 1.00 | 4.00 |
| Examples Class | 4 | 1.00 | 4.00 |
| Lecture | 10 | 1.00 | 10.00 |
| Independent online learning hours | 22.00 | ||
| Private study hours | 110.00 | ||
| Total Contact hours | 18.00 | ||
| Total hours (100hr per 10 credits) | 150.00 | ||
Private study
Students are expected to use private study time to consolidate their understanding of course materials, to undertake preparatory work for seminars, workshops, tutorials, examples classes and practical classes, and also to prepare for in-course and summative assessments.Opportunities for Formative Feedback
Students studying ELEC modules will receive formative feedback in a variety of ways, including the use of self-test quizzes on Minerva, practice questions/worked examples and (where appropriate) through verbal interaction with teaching staff and/or post-graduate demonstrators.Methods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| In-course Assessment | Quiz 1 | 0.00 |
| In-course Assessment | Quiz 2 | 0.00 |
| In-course Assessment | Quiz 3 | 0.00 |
| In-course Assessment | Quiz 4 | 0.00 |
| Total percentage (Assessment Coursework) | 0.00 | |
Resits for ELEC and XJEL modules are subject to the School's Resit Policy and the Code of Practice on Assessment (CoPA), which are available on Minerva. Students should be aware that, for some modules, a resit may only be conducted on an internal basis (with tuition) in the next academic session.
Exams
| Exam type | Exam duration | % of formal assessment |
| Online MCQ | 1 hr 00 mins | 30.00 |
| Open Book exam | 2 hr 00 mins | 70.00 |
| Total percentage (Assessment Exams) | 100.00 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading list
The reading list is available from the Library websiteLast updated: 03/05/2022 14:36:20
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