Area: | Department of Electrical and Computer Engineering |
Credits: | 25.0 |
Contact Hours: | 4.0 |
Lecture: | 1 x 3 Hours Weekly |
Tutorial: | 1 x 1 Hours Weekly |
Syllabus: | Probability theory, random variable theory, expectation, moments, stochastic process theory, stationarity, correlation functions, power spectral density, stochastic processes in linear systems. Selected topics from: estimation and decision theory, markov chains, cyclostationarity, random walk theory. |
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Unit Outcomes: | Upon completion of this unit students will be able to - Understand the fundamentals of probability theory. Characterize random signals using probabilistic tools. Apply the probability theory results to some typical engineering applications. |
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: | Papoulis. A. (1991/2002). Probability, Random Variables and Stochastic Processes,' 3rd/4th Edition. McGraw Hill. Kay. S.M. (1993). Fundamentals of Statistical Signal Processing. Estimation Theory. Vol. 1. Prentice-Hall. Howard R.M. (2002). Principles of Random Signal Analysis and Low Noise Design: The Power Spectral Density and its Applications. Wiley. |
Unit Texts: | P.Z. Peebles. (2000). Probability, Random Variables and Random Signal Principles. McGraw Hill. |
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Unit Assessment Breakdown: | Final examination 60%, Laboratory/Test/Assignment 40%. |
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: | Supplemental | Result Type: | Grade/Mark |
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Availability
| Year | Location | Period | Internal | Area External | Central External | | 2004 | Bentley Campus | Semester 1 | Y | | |
Area
External | refers to external course/units run by the School or Department, offered online or through Web CT, or offered by research. |
Central
External | refers to external course/units run through the Curtin Bentley-based Distance Education Area |
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