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. |
Texts and references listed below are for your information only and current as of September 30, 2003. Some units taught offshore are modified at selected locations. Please check with the unit coordinator for up-to-date information and approved offshore variations to unit information before finalising study and textbook purchases. |
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% |
Field of Education: | 31300 Electrical and Electronic Engineering and Technology (Narrow Grouping) | HECS Band (if applicable): | 2 |
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Extent to which this unit or thesis utilises online information: | Not Online | Result Type: | Grade/Mark |
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AvailabilityAvailability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information.
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