11341 (v.4) Stochastic Processes for Telecommunications Systems 601
| 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. |
| 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: | 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%. |
| Year | Location | Period | Internal | Area External | Central External | | 2004 | Bentley Campus | Semester 1 | Y | | | |
Current as of: February 2, 2004
CRICOS provider code 00301J
