Registry

Module Specifications

Archived Version 2022 - 2023

Module Title	Digital Signal Processing
Module Code	PS403
School	School of Physical Sciences
Online Module Resources
Module Co-ordinator	Prof John Costello	Office Number	H305/N233
Module Co-ordinator	Prof John Costello	Office Number	H305
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

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Lecture	24	3 lectures per week (averaged over semester)
Tutorial	6	6 hours equivalent (tutorial/in-lecture) problem solving, in-class tests
Independent Study	95	Studying and learning lecture material, solving tutorial problems, background reading, revision, following up recommended WWW links
Total Workload: 125

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.

1. Signal Sampling
Shannon's theorem, Nyquist concepts, etc.,

2. Noise
Sources and statistics of noise

3. Linear systems
Linear DSP systems: Scope, definitions and concepts,

4. Time domain
Analysing DSP system in the time domain: responses, etc.,

5. Frequency domain
Analysing DSP system in the frequency domain:Discrete Fourier Series (DFS) and Discrete Fourier Transform (DFT),

6. Z-transform
The Z-transform and its applications in DSP,

7. Filter design
Non-recursive (Finite Impulse Response) and recursive (Infinite Impulse Responses) filter design,

8. FFT
The Fast Fourier Transform (FFT) and its applications in DSP.

Assessment Breakdown
Continuous Assessment	20%	Examination Weight	80%

Type	Description	% of total	Assessment Date
Course Work Breakdown

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
Unavailable

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

Programme or List of Programmes

AP	BSc in Applied Physics
PBM	BSc Physics with Biomedical Sciences
PG	BSc in Physics with German
PHA	BSc in Physics with Astronomy

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