307639 (v.1) Digital Signal Processing for Wireless Communications 602

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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
Syllabus:	Random signal theory, signal modeling, Wiener filtering, spectrum estimation (nonparametric and parametric), adaptive filtering (Steepest descent, LMS (least mean squared), RLS (recursive least squares)). Selected topics from Adaptive Equalization or Multiuser Communications: Adaptive linear equalization, adaptive decision-feedback equalization and blind equalization. Multiple access, CDMA (code division multiple access), Optimum receiver, Suboptimum receivers (decorrelator, MMSE (minimum mean squarederror)), Performance characteristic of detectors.
Unit Outcomes:	Upon completion of this unit students will be able to - Know how to model a signal efficiently using different models. Design an optimum linear filter to estimate a signal from a noisy measurement. Perform spectrum estimation using high resolution methods. 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.
Unit Texts:	Hayes Monson H. (1996). Statistical Digital Signal Processing and Modelling. Wiley. Haykin, S. 1996. Adaptive Filter Theory. Prentice-Hall 3rd ed.
Unit Assessment Breakdown:	End of semester examination 70%, Assignments 30%.
Year Location Period Internal Area External Central External 2004 Bentley Campus Semester 2 Y