Module Indicative Content
Signal parameters, average, root mean square, mean square, normalised average power, decibels, dBm, dBW.
Signal representation, time-domain, frequency domain, continuous-time, discrete-time.
Trigonometric and exponential form, phasors, Argand diagram representation.
Fourier series, spectra of commen signals. Fourier Transforms.
Sampling Theorem and analogue-to-digital conversion. Quantisation error and signal-to-quantisation noise.
Digital signals and introduction to digital signal processing (DSP).
Correlation and Convolution.
Module Learning Strategies
Lectures - 24 hours at a ratio of 1:n
Four, 3 hour practical/laboratory work at a ratio of 1:20
Learning on all aspects of the content will be facilitated by lectures and tutorials, problem solving exercises and student centred learning.
Practical assignments using laboratory equipment, communication tutor units and Electronic Workbench, PSPICE/MATLAB simulation packages will support the learning.
Learning will be supported by a 'workbook' with equations, building blocks and PSPICE/Workbench development of support material.
(1:n)2 (1:20)1
Module Resources
Laboratory with MultiSim, PSpice/MATLAB.
Module Texts
Signals and Systems, Gir, Rabenstein and Stenger, Wiley, 2001, ISBN: 0-471-98800-6
Module Special Admissions Requirements
Level 1 Mathematics or equivalent
Module Additional Assessment Details
1 x 2 hour exam (50%) which will asses Learning Outcomes 1 and 2.
A log book record and written report on one piece of laboratory based work approximately 3000 words (50%) which will assess Learning Outcomes 3 and 4.