Module Title:   Signals and SystemsTheory

Module Credit:   10

Module Code:   ENG3067M

Teaching Period:   Semester 1

Module Occurrence:   A

Module Level:   FHEQ Level 6

Module Type:   Standard module

Provider:   Engineering

Related Department/Subject Area:   PI - Engineering: Telecomms, Electromagnetics etc (MDIS) (not in use)

Principal Co-ordinator:   Prof RAA Abd-Alhameed

Prerequisite(s):   None

Corequisite(s):   None

Aims:
To provide detailed knowledge of the nature of signals and their response in electronic systems and the mathematical methods of describing them.

Learning Teaching & Assessment Strategy:
Concepts, principles and theories explored in formal lectures, practiced in tutorials and demonstrated in laboratory sessions. A formal examination will assess the learning outcomes expressed in the descriptor.

 Study Hours: Lectures: 12.00 Directed Study: 74.00 Seminars/Tutorials: 8.00 Other: 0.00 Laboratory/Practical: 4.00 Formal Exams: 2.00 Total:   100.00

On successful completion of this module you will be able to...

critically review and analyse the principles of signal theory in relation to the behaviour of electronic circuits.

On successful completion of this module you will be able to...

Analyse and synthesise signals in the time and frequency domains.

On successful completion of this module you will be able to...

N/A

 001. Assessment Type Duration Percentage Examination - closed book 2.00 100% Description Exam

Outline Syllabus:
Description and classification of signals in the time and frequency domains. Correlation as a method of signal identification; orthogonal and orthonormal functions.Fourier series for periodic functions; Parseval`s theorem, energy density spectra, Gibb`s phenomenon. Convolution; central limit theorem, system impulse response. Discrete Fourier Transform; sampling, Gibb`s phenomenon (again), DCT, FFT. Time and bandwidth limitation.Random signals; probability density, time and ensemble averages, statistical dependence, relationship to signal power, autocorrelation and cross-correlation, Wiener-Kintchine relationship, power density Numerical analysis and applications; General concepts of linear and non-linear systems.

Version No:  3