Postgraduate Course: Digital Signal Processing Laboratory (MSc) (PGEE11108)
Course Outline
| School | School of Engineering |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Not available to visiting 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 |
Taught in Gaelic? | No |
| Course description | Digital Signal Processing Laboratory |
Course Delivery Information
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| Delivery period: 2013/14 Semester 1, Not available to visiting students (SS1)
|
Learn enabled: Yes |
Quota: None |
Web Timetable |
Web Timetable |
| Course Start Date |
16/09/2013 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Supervised Practical/Workshop/Studio Hours 30,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
68 )
|
| Additional Notes |
|
| Breakdown of Assessment Methods (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| No Exam Information |
Summary of Intended Learning Outcomes
Students are required to formulate solutions to practical communications, signal and image processing problems and to code, debug and run these in MATLAB. Specific learning outcomes are:
1. Understanding of how to use MATAB to simulate and analyze signal and image processing algorithms.
2. Reinforce the practical understanding of the following courses, Discrete-Time Signal Analysis PGEE11026; Digital Communication Fundamentals PGEE11025; Statistical Signal Processing PGEE11027; Image Processing PGEE11021 through practical labs and marked assignments. |
Assessment Information
| 100% coursework: marked assignments |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
The course will teach students to solve simple problems in the areas of communications and signal processing in a MATLAB environment. The course will reinforce material taught in the co-requisite courses and provide practical experience of signal processing implementation in preparation for the project.
Course contents:
1. Introduction to signal processing in MATLAB including: generating time domain signals; simulating continuous and sampled signals; calculating the DFT, its properties and implementation; power spectral density estimation.
2. Discrete Time signal Analysis assignment
3. Communications assignment
4. Image processing assignment
Course assignments ¿ example exercises could be: simulating an adaptive noise cancellation problem, estimating frequencies and noise power in a time domain signal, simulating a simple modulation / demodulation and detection scheme, etc. |
| Transferable skills |
Not entered |
| Reading list |
Online MATLAB resources and lecture notes for co-requisite courses. |
| Study Abroad |
Not entered |
| Study Pattern |
The course will consist of 10 supervised 3 hour labs plus at least 70 hours personal study and programming time. |
| Keywords | Signal Processing, Communications, Image Processing |
Contacts
| Course organiser | Dr Michael Davies
Tel:
Email: mike.davies@ed.ac.uk |
Course secretary | Mrs Sharon Potter
Tel: (0131 6)51 7079
Email: Sharon.Potter@ed.ac.uk |
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