Module Details

Module Code: PHYS8001
Title: Advanced Signal Processing
Long Title: Advanced Signal Processing
NFQ Level: Advanced
Valid From: Semester 1 - 2024/25 ( September 2024 )
Duration: 1 Semester
Credits: 5
Field of Study: 4411 - Physics
Module Delivered in: 2 programme(s)
Module Description: This course covers the more important mathematical technigues required to analyse the performance of signal processing systems. It covers the major principles of digital signal processing with particular emphasis on digital filters and spectral analysis.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Analyse the performance and frequency response of analog and digital systems.
LO2 Use commercial packages to design digital filters for real laboratory applications.
LO3 Apply signal processing techniques such as correlation in designing measurement systems.
LO4 Explain and critically evaluate the operation of real-time digital signal processing techniques.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements

This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
No requirements listed
 
Indicative Content
Fourier analysis
Fourier series and transforms, amplitude and phase spectra, properties of the Fourier transform
The Z transform
Difference equations, the Z transform, relationship of the Z transform to the Laplace transform.
Digital Signal processing basics
Discrete signals, elements of a real-time DSP system, linearity and time invariance, FIR & IIR systems.
Time Domain Analysis
Unit pulse response, convolution, auto and cross-correlation. Applications to measurement systems.
Frequency Domain Analysis
Frequency response of continuous and discrete systems, use of the Z transform.
Digital Filter design
Filter design techniques, trade-offs, use of filter design packages. Spatial filtering.
Spectral analysis
Windowing, choice of window type, spectral resolution, the DFT and the FFT, swept-sine analyser.
DSP Implementation
Architecture of DSP systems, assemblers, compilers, simulators and emulators.
Module Content & Assessment
Assessment Breakdown%
Coursework50.00%
End of Module Formal Examination50.00%

Assessments

Coursework
Assessment Type Short Answer Questions % of Total Mark 20
Timing Week 5 Learning Outcomes 1,3
Assessment Description
Short written assessment
Assessment Type Written Report % of Total Mark 30
Timing Week 12 Learning Outcomes 1,2,3
Assessment Description
Written reports on laboratory exercises
End of Module Formal Examination
Assessment Type Formal Exam % of Total Mark 50
Timing End-of-Semester Learning Outcomes 1,3,4
Assessment Description
End-of-Semester Final Examination
Reassessment Requirement
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.

The University reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Module content delivery Every Week 3.00 3
Lab Contact Laboratory exercises Every Second Week 1.00 2
Independent & Directed Learning (Non-contact) Non Contact Self study Every Week 3.00 3
Total Hours 8.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Module content delivery Every Week 3.00 3
Lab Contact Laboratory exercises Every Second Week 1.00 2
Independent & Directed Learning (Non-contact) Non Contact Self study Every Week 3.00 3
Total Hours 8.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 4.00
 
Module Resources
Recommended Book Resources
  • M.L. Meade & C.R. Dillon. (1991), Signals and Systems, 2nd Ed.. Chapman & Hall, [ISBN: 9780412401107].
  • Bob Meddins. (2000), Introduction to Digital Signal Processing, 1st Ed.. Newnes, [ISBN: 9780750650489].
Supplementary Book Resources
  • E.Kreyszig. (2011), Advanced Engineering Mathematics, 10th Ed.. Wiley, [ISBN: 9780470646137].
  • Cory L. Clark. (2005), Labview digital signal processing and digital communications, McGraw- Hill, [ISBN: 0071444920].
  • M.Woolfson & M.Woolfson. (2007), Mathematics for Physics, 1st Ed.. Oxford University Press, [ISBN: 9780199289295].
  • J.Proakis & D.Manolakis. (2013), Digital Signal Processing, 4th Ed.. Pearson, [ISBN: 9781292025735].
  • A. Bateman & I, Paterson-Stephens. (2002), The DSP Handbook, 1st. Prentice-Hall, [ISBN: 9780201398519].
This module does not have any article/paper resources
Other Resources
 
Module Delivered in
Programme Code Programme Semester Delivery
CR_SPHYS_8 Bachelor of Science (Honours) in Applied Physics and Instrumentation 1 Mandatory
CR_SINEN_8 Bachelor of Science (Honours) in Instrument Engineering 7 Mandatory