2020/21 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: 1 Sep to 31 Jan (adv yr), Semester 1 (Sep to Jan) View Timetable
Year running 2020/21
This module is not approved as an Elective
Module summary
The teaching and assessment methods shown below will be kept under review during 2020-21. In particular, if conditions allow for alternative formats of delivery, we may amend the timetable and schedule appropriate classes in addition to (or in place of) the Online Learning Workshops. For Semester 2 (from January 2021), we anticipate that this will be most likely, in which case online teaching will be substituted for traditional face-to-face teaching methods, including lectures and practical classes. ‘Independent online learning’ will involve watching pre-recorded lecture material or screen-casts, engaging in learning activities such as online worked examples or remote/virtual laboratory work, etc. Students will be expected to fully engage with all of these activities. The time commitment for independent online learning, and also the frequency and duration of Online Learning Workshops, are approximate and intended as a guide only. Further details will be confirmed when the module commences.Objectives
Learning outcomes
On completion of this module students should be able to:
1. Understand the fundamental principles of digital signal processing.
2. Discuss a large number 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 to process signals that derive from random processes.
5. Discuss advantages/disadvantages of various DSP implementations.
6. Understand 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 |
| On-line Learning | 8 | 1.00 | 8.00 |
| Independent online learning hours | 48.00 | ||
| Private study hours | 94.00 | ||
| Total Contact hours | 8.00 | ||
| Total hours (100hr per 10 credits) | 150.00 | ||
Private study
Students are expected to use private study time to consolidate the material covered in lectures and to prepare for summative assessments.Opportunities for Formative Feedback
Feedback will be mainly provided through the in-course assessment (test).Methods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| Online Assessment | Online Assignment/Test 1 | 15.00 |
| Online Assessment | Online Assignment/Test 2 | 25.00 |
| Online Assessment | Online Assignment/Test 3 | 25.00 |
| Online Assessment | Online Assignment/Test 4 | 35.00 |
| Total percentage (Assessment Coursework) | 100.00 | |
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.
Reading list
The reading list is available from the Library websiteLast updated: 10/08/2020 08:35:35
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- Undergraduate module catalogue
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