Postgraduate Course: Digital Signal Processing Laboratory (MSc) (PGEE11108)
Course Outline
School | School of Engineering |
College | College of Science and Engineering |
Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
SCQF Credits | 10 |
ECTS Credits | 5 |
Summary | 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 and image processing implementation in preparation for the project. The course will be composed of programming sessions and course assignments covering discrete time signal analysis, communications and image processing. |
Course description |
Course contents:
1. A set of assessed programming sessions run weekly covering:
- Introduction to signal processing in MATLAB;
- generating time domain signals;
- simulating continuous and sampled signals;
- calculating the DFT, its properties and implementation;
- signal and image filtering;
- power spectral density estimation.
2. Course assignments to be completed outside of lab hours. 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.
|
Course Delivery Information
|
Academic year 2018/19, Not available to visiting students (SS1)
|
Quota: None |
Course Start |
Semester 1 |
Timetable |
Timetable |
Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Supervised Practical/Workshop/Studio Hours 30,
Summative Assessment Hours 20,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
48 )
|
Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
Additional Information (Assessment) |
100% coursework: marked assignments |
Feedback |
Feedback is provides on marked assignments. |
No Exam Information |
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 other 1st semester courses, Discrete-Time Signal Analysis PGEE11026; Digital Communication Fundamentals PGEE11025; Statistical Signal Processing PGEE11027; Image Processing PGEE11021 through practical labs and marked assignments.
|
Reading List
Online MATLAB resources and lecture notes for co-requisite courses. |
Additional Information
Graduate Attributes and Skills |
Not entered |
Keywords | Signal Processing,Communications,Image Processing |
Contacts
Course organiser | Dr Michael Davies
Tel:
Email: mike.davies@ed.ac.uk |
Course secretary | Mrs Megan Inch-Kellingray
Tel: (0131 6)51 7079
Email: M.Inch@ed.ac.uk |
|
|