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Module Specifications

Current Academic Year 2012 - 2013
Please note that this information is subject to change.

Module Title Digital Signal Processing
Module Code PS403
School School of Physical Sciences
Online Module Resources

Module TeacherJohn Costello
NFQ level 8 Credit Rating 5
Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None
Description
The overarching objective of the module is to develop in the participants practical time-invariant digital signal system design skills. The module focusses on prototypical linear time invariant systems and aims to be the stepping off point for more advanced modules in adaptive, non-linear and time varying systems.

Learning Outcomes
1. Describe the fundamental properties of linear time invariant systems
2. State, prove and apply Shannon's sampling theorem
3. Relate signal to noise ratio (SNR) to number of samples averaged in signal sampling and averaging systems
4. Compute the impulse response of DSP systems and combine it with convolution techniques to compute DSP system response for any arbitrary input (and vice versa).
5. Write down, state the properties of, and apply Fourier Transforms and Z-Transforms in DSP systems
6. Design, obtain the properties of and code basic window (or apodization) functions
7. Design basic finite impulse response (FIR) and infinite impulse response (IIR) filters



Workload Full-time hours per semester
Type Hours Description
Lecture243 lectures per week (averaged over semester)
Tutorial66 hours equivalent (tutorial/in-lecture) problem solving, in-class tests
Independent learning100Studying and learning lecture material, solving tutorial problems, background reading, revision, following up recommended WWW links
Total Workload: 130

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities
Indicative Syllabus.
1. Signal Sampling: Shannon's theorem, Nyquist concepts, etc.,2. Noise: Sources and Statistics,3. Linear DSP systems:Scope, definitions and concepts,4. Analysing DSP system in the time domain: responses, etc.,5. Analysing DSP system in the frequency domain:Discrete Fourier Series (DFS) and Discrete Fourier Transform (DFT),6. The Z-transform and its applications in DSP,7. Non-recursive (Finite Impulse Response) and recursive (Infinite Impulse Responses) filter design,8. The Fast Fourier Transform (FFT) and its applications in DSP..

Assessment Breakdown
Continuous Assessment20% Examination Weight80%
Course Work Breakdown
TypeDescription% of totalAssessment Date
In Class TestNumerical problem solving10%Week 6
Reassessment Requirement
Resit arrangements are explained by the following categories;
1 = A resit is available for all components of the module
2 = No resit is available for 100% continuous assessment module
3 = No resit is available for the continuous assessment component
This module is category 3
Indicative Reading List
  • P A Lynn and W Fuerst: 1994, Introductory Signal Processing with Computer Applications, 2nd, Wiley,
  • L. C. Ludeman: 1987, Fundamentals of DSP, Wiley,
Other Resources
None
Array
Programme or List of Programmes
PGBSc in Physics with German
Timetable this semester: Timetable for PS403
Date of Last Revision16-AUG-05
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