11328 (v.3) Adaptive Signal Processing 611
| Area: | Department of Electrical and Computer Engineering |
| Credits: | 25.0 |
| Contact Hours: | 2.5 |
| Lecture: | 1 x 2 Hours Weekly |
| Tutorial: | 1 x 1 Hours Fortnightly |
| Co Requisite(s): | 11330 (v.4) Digital Communications Engineering 601 or any previous version
AND
11341 (v.4) Stochastic Processes for Telecommunications Systems 601 or any previous version
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| Syllabus: | Random signal theory, signal modeling, Wiener filtering, spectrum estimation (nonparametric and parametric), adaptive filtering (Steepest descent, LMS, RLS). Selected topics from Adaptive Equalization or Multiuser Communications - Adaptive linear equalization, adaptive decision-feedback equalization and blind equalization. Multiple access, Code Division Multiple Access (CDMA), optimum receiver, suboptimum receivers (decorrelator, MMSE), performance characteristic of detectors. |
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| Unit Outcomes: | On successful completion of this unit students will gain knowledge of how to model a signal efficiently using different models and how to design an optimum linear filter to estimate a signal from a noisy measurement. They will be able to perform spectrum estimation using high resolution methods and apply the knowledge acquired to such applications as Equalization and CDMA in communications. |
| Text and references listed above are for your information only and current as of September 30, 2003. Please check with the unit coordinator for up-to-date information. |
| Unit References: | Proakis, J. G., 2000, 'Digital Communications', McGraw Hill, New York. |
| Unit Texts: | Hayes, M. H., 1996, 'Statistical Digital Signal Processing and Modelling', Wiley, New York Haykin, S., 1996, 'Adaptive Filter Theory', 3rd ed. Prentice-Hall, Upper Saddle River. |
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| Unit Assessment Breakdown: | Final examination 70%. Assignments 30% |
Current as of: February 2, 2004
CRICOS provider code 00301J
