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, tests and course assignment 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.

Entry Requirements (not applicable to Visiting Students)
Pre-requisites		Co-requisites	Students MUST also take: Image Processing (PGEE11021) AND Discrete-time Signal Analysis (MSc) (PGEE10018) AND Digital Communication Fundamentals (MSc) (PGEE10019) AND Probability, Estimation Theory and Random Signals (PETARS) (MSc) (PGEE11164)
Prohibited Combinations		Other requirements	None
Additional Costs	lab books

Course Delivery Information

Academic year 2022/23, Not available to visiting students (SS1)		Quota: None
Course Start	Semester 2
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
On completion of this course, the student will be able to: Formulate solutions to practical communications, signal and image processing problems and to code, debug and run these in MATLAB. Understand how to use MATAB to simulate and analyze signal and image processing algorithms. Demonstrate practical understanding of the underpinning 1st semester courses in the Signal Processing and Communications MSc: Discrete-Time Signal Analysis PGEE11026; Digital Communication Fundamentals PGEE11025; Statistical Signal Processing PGEE11027; Image Processing PGEE11021 through practical labs tests and marked assignment.