Postgraduate Course: Signal Processing with MATLAB (PGEE11006)
Course Outline
| School |
School of Engineering |
College |
College of Science and Engineering |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
10 |
| Home subject area |
Postgrad (School of Engineering) |
Other subject area |
None |
| Course website |
None |
|
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| Course description |
The course will teach students to solve simple problems in the areas of communications and digital signal processing in a MATLAB environment. The course will offer insight and reinforcement to the taught Signal Processing courses and preparation for the project phase by providing practical experience of implementing signal processing techniques. Sufficient background teaching will be given to enable students who have not specialised in communications or in digital signal processing to attempt the exercises in this course.
Contents:
Basic introduction to using MATLAB
Generating time domain signals, taking FFTs, creating plots
The DFT, its properties and implementation.
Classical and modern (i.e. Auto-Regressive) power spectral estimation
Generating and analysing random variables (mean, variance, histogram, etc)
Stochastic processes and noise
2 course assignments - example exercises could be: an adaptive noise cancellation problem, estimating frequencies and noise power in a time domain signal, etc.
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Entry Requirements
| Pre-requisites |
|
Co-requisites |
It is RECOMMENDED that students also take
Discrete-Time Signal Analysis (PGEE11026)
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| Prohibited Combinations |
|
Other requirements |
Prior attendance of basic courses in "Communications" and "Signals and Systems" is RECOMMENDED
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| Additional Costs |
None |
Course Delivery Information
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| Delivery period: 2010/11 Semester 1, Available to all students (SV1)
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WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| King's Buildings | Laboratory | | 1-11 | | 10:00 - 13:00 | | | |
| First Class |
First class information not currently available |
Summary of Intended Learning Outcomes
1. Understanding of how to use MATAB including the MATLAB on-line help facilities.
2. Understanding of how to perform some or all the work of a typical MSc project in MATLAB. This includes an understanding of how to translate complex signal processing algorithms into MATLAB. |
Assessment Information
| This will be assessed by a combination of coursework assignments, attendance and inspection of lab books. |
| Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
| Not entered |
Contacts
| Course organiser |
Dr Michael Davies
Tel:
Email: mike.davies@ed.ac.uk |
Course secretary |
Mrs Kim Orsi
Tel: (0131 6)50 5687
Email: Kim.Orsi@ed.ac.uk |
|
copyright 2010 The University of Edinburgh -
1 September 2010 6:24 am
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