Module Descriptors
SIGNAL PROCESSING
ELEC50128
Key Facts
Faculty of Computing, Engineering and Sciences
Level 5
15 credits
Contact
Leader: Mohammad Patwary
Email: M.N.Patwary@staffs.ac.uk
Hours of Study
Scheduled Learning and Teaching Activities: 36
Independent Study Hours: 114
Total Learning Hours: 150
Assessment
- EXAMINATION - UNSEEN IN EXAMINATION CONDITIONS weighted at 50%
- LABORATORY LOG BOOK weighted at 50%
Module Details
Module Texts
Andreas A., 2005, Digital Signal Processing: Signals, Systems and Filters, McGraw-Hill, ISBN: 9780071454247
Benoit B., 2005, Fundamentals of Signals and Systems, Course Technology, ISBN: 9781584503811
Ingle V. K., Proakis J. G., 2007, Digital Signal Processing Using MATLAB, 2nd Edition, Cengage Learning, ISBN-13: 9780495073116
Roberts M. J., 2004, Signals and Systems Analysis of Signals Through Linear Systems, 1st Edition, McGraw Hill, ISBN-13: 9780072930443
Benoit B., 2005, Fundamentals of Signals and Systems, Course Technology, ISBN: 9781584503811
Ingle V. K., Proakis J. G., 2007, Digital Signal Processing Using MATLAB, 2nd Edition, Cengage Learning, ISBN-13: 9780495073116
Roberts M. J., 2004, Signals and Systems Analysis of Signals Through Linear Systems, 1st Edition, McGraw Hill, ISBN-13: 9780072930443
Module Special Admissions Requirements
Level 1 Mathematics or equivalent
Module Resources
Laboratory with MultiSim, PSpice/MATLAB.
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.
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 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.
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.
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
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