Module Descriptors
SIGNAL PROCESSING (D\L)
ELEC50306
Key Facts
Digital, Technology, Innovation and Business
Level 5
15 credits
Contact
Leader: Tamoor Shafique
Email: tamoor.shafique@staffs.ac.uk
Hours of Study
Scheduled Learning and Teaching Activities: 12
Independent Study Hours: 138
Total Learning Hours: 150
Pattern of Delivery
  • Occurrence A, Stoke Campus, UG Semester 3 to UG Semester 1
  • Occurrence B, RAF - Cranwell Lincolnshire, UG Semester 2
  • Occurrence J, Stoke Campus, UG Semester 1
  • Occurrence K, Stoke Campus, UG Semester 2
Sites
  • RAF - Cranwell Lincolnshire
  • Stoke Campus
Assessment
  • EXAMINATION - UNSEEN IN EXAMINATION CONDITIONS weighted at 50%
  • COURSEWORK weighted at 50%
Module Details
Module Additional Assessment Details
1 x 2 hour exam (50%) which will assess Learning Outcomes 1 and 2.
Log book record and written report (approx 3500 words) on laboratory based work (50%) which will assess Learning Outcomes 3 and 4.
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
Module Learning Strategies
Initial online/skype or face-to-face briefing 2 hours
Structured Guided study via Blackboard
Online/skype progress checks 10 minutes per week
8 hours attendance at the University over a weekend to perform practical experimentation
Module Resources
Standard electronic laboratory equipment including PC with MATLAB/SIMULINK.
Module Special Admissions Requirements
Level 4 Mathematics or equivalent.
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.