| 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).
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| 14757 |
MATH7031 |
Transform Methods for E.Eng |
| 14763 |
MATH8002 |
Discrete Time Mathematics |
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.
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| No incompatible modules listed |
Co-requisite Modules
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| 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.
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| No requirements listed |
| Indicative Content |
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Spectral Analysis
Revision of the Discrete Time Fourier Transform (DTFT). Spectral anlaysis of data from real application, for example level/temperature sensor, audio file .
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Analogue filters
Examine frequency response for Low Pass, High Pass, Band Pass and Band Reject filters. Design filter gain and cutoff frequencies to remove/amplify specific frequencies for a real apllication. Stability of analogue filters.
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Digital Signal Processing (DSP)
Introdcue the basic blocks of a DSP system. Anti aliasing filters, the sampling process, A/D conversion, D/A conversion.
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Digital Filter Design
Theory of Infinite Impulse Response (IIR) filters. Difference equations and discrete time filter transfer functions. Analogue approximation methods such as Impulse Invariance method (IIM) and Bilinear Transformation (BLT). Discrete time methods like the Pole-Zero Placement method. Application of methods to real application. Performance comparison between nonrecursive Finite impulse Response (FIR) and recursive IIR filters. Stability in discrete time.
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Laboratory Project
Generate data from real application for spectral analysis. Design and MATLAB simulation of analogue and digital filters for real application. Generate time domain responses to step, impulse and sinusoidal inputs. Plot frequency response of analogue and digital filters using MATLAB.
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Performance Evaluation and communication
Analyse responses to step, impulse and sinusoidal inputs applied to discrete time filters. Examine the performance frequency domain. Discuss stability in the Continuous time (S) domain and discrete time (Z) domain. Communicate effectively the results in written reports to a high engineering standard.
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The University reserves the right to alter the nature and timings of assessment
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Module Resources
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| Recommended Book Resources |
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John G Proakis, Dimitris K Manolakis. (2013), Digital signal Processing, 4. Pearson, [ISBN: 978-1292025735].
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| Supplementary Book Resources |
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Andrew Bateman, Iain Paterson-Stephens. (2001), The DSP handbook, 2. [ISBN: 978-0201398519].
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Samuel D Stearns, Donald R Hush. (2011), DSP with Examples in Matlab, 2. [ISBN: 987-1439837825].
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Thad B. Welch, Cameron H.G. Wright, Michael G. Morrow. (2017), Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSPs, 3. CRC Press, p.480, [ISBN: 9781498781015].
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| This module does not have any article/paper resources |
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| Other Resources |
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