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. 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 and 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.

Entry Requirements (not applicable to Visiting Students)
Pre-requisites		Co-requisites	Students MUST also take: Statistical Signal Processing (SSP) (MSc) (PGEE11122) AND Image Processing (PGEE11021) AND Probability, Random Variables and Estimation Theory (PET) (MSc) (PGEE11123) AND Discrete-time Signal Analysis (MSc) (PGEE10018) AND Digital Communication Fundamentals (MSc) (PGEE10019)
Prohibited Combinations		Other requirements	None
Additional Costs	lab books

Course Delivery Information

Academic year 2015/16, 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, Formative Assessment Hours 1, Summative Assessment Hours 10, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 57 )
Assessment (Further Info)	Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment)	100% coursework: marked assignments
Feedback	Not entered
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.