Area: |
Department of Electrical and Computer Engineering | ||||||||||||||||||||||||||||||||
Credits: |
25.0 | ||||||||||||||||||||||||||||||||
Contact Hours: |
5.0 | ||||||||||||||||||||||||||||||||
** The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline. ** | |||||||||||||||||||||||||||||||||
Lecture: |
1 x 2 Hours Weekly | ||||||||||||||||||||||||||||||||
Tutorial: |
1 x 1 Hours Weekly | ||||||||||||||||||||||||||||||||
Laboratory: |
1 x 2 Hours Weekly | ||||||||||||||||||||||||||||||||
Prerequisite(s): |
10165 (v.3) Communications Engineering 303 or any previous version AND 12834 (v.4) Digital Signal Processing 304 or any previous version |
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Syllabus: |
Random signal theory - nonparametric and parametric spectral estimation, Wiener filtering, adaptive filtering - steepest descent, least mean squares (LMS) and recursive least squares (RLS). Optimum receiver for dispersive channels - maximum likelihood estimation, Viterbi Algorithm, linear equalisation - baseband and passband linear equalisers, detection error performance - decision-feedback equalisation (DFE) - coefficient optimisation. Adaptive equalisation - zero forcing algorithm, least mean square algorithm, convergence, DFE algorithms, self-recovering or blind equalisation. RAKE receiver. | ||||||||||||||||||||||||||||||||
** To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement. ** | |||||||||||||||||||||||||||||||||
Field of Education: | 031307 Communications Technologies | ||||||||||||||||||||||||||||||||
Funding Cluster: | 08 - Engineering, Science, Surveying | ||||||||||||||||||||||||||||||||
SOLT (Online) Definitions*: | Not Online *Extent to which this unit or thesis utilises online information | ||||||||||||||||||||||||||||||||
Result Type: | Grade/Mark | ||||||||||||||||||||||||||||||||
Availability |
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