Registry
Module Specifications
Archived Version 2005 - 2006
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Module Aims
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To provide basic digital signal system design skills by:
1.Developing associated DSP mathematical/modelling skills.
2.Acquiring a knowledge of DSP system capabilities and limitations.
3.Designing and developing “real” coded DSP Filters and systems.
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Learning Outcomes
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1.The student should acquire a firm theoretical and practical grounding in the basic concepts of DSP.
2.The student should be well prepared to continue further studies in advanced topics (e.g. Non-linear/Adaptive DSP, Digital Image Processing, etc.)
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Indicative Time Allowances
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Hours
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Lectures |
24
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Tutorials |
6
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Laboratories |
0
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Seminars |
0
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Independent Learning Time |
45
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Total |
75
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Placements |
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Assignments |
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NOTE
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Assume that a 0 credit module load represents approximately 75 hours' work, which includes all teaching, in-course assignments, laboratory work or other specialised training and an estimated private learning time associated with the module.
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Indicative Syllabus
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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)The Z-transform and its applications in DSP.
6.Non-recursive (Finite Impulse Response) and recursive (Infinite Impulse Responses) filter design
7.The Fast Fourier Transform (FFT) and its applications in DSP
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| Assessment | | Continuous Assessment | 20% | Examination Weight | 80% |
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Indicative Reading List
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1.Introductory Signal Processing with Computer Applications
P.A. Lynn & W. Fuerst (2nd ed. Wiley, 1994)
2.Fundamentals of DSP
L.C. Ludeman (Wiley, 1987)
3.Digital Processing of Signals
M. Sellonger (2nd ed. Wiley, 1990)
4.Analog and Digital Signal Processing
M. Baher (Wiley, 1989)
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Programme or List of Programmes
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| AP | BSc in Applied Physics |
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