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EEL 5544: Noise in Linear Systems |
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Fall 2003 ( 1558X) |
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Dr. Janise McNair Email: mcnair@ece.ufl.edu Office Hours: Monday and Wednesday, 9:30am-11:30am **NOTE CHANGE** Location: NEB 457 |
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Assistants |
Jing Zhao Email: jingzhao@ufl.edu Office Hours: Monday, Wednesday and Thursday, 12:40pm-1:40pm (Period 6) Office Location: LAR 139 Johny Kwon Email: ohbong70@ufl.edu Office Hours: Monday, Wednesday and Thursday, 1145am-1235pm (Period 5) Office Location: NEB 406A |
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| Student Access Website (Available on Sept 1) |
The student
access website will be used for class handouts, assignments,
course announcements, course schedule and other required information.
Participation in and regular access to this website is required for this course. Web site will be available on September 1. Note: Your gatorlink login and password are required to access the student website. The FEEDS (video lecture) website is here: http://www.oeep.eng.ufl.edu |
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| Class Schedule |
Now available on webct.
If you still do not have access, please contact the instructor. |
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Description |
Passage of
electrical noise and signals through linear systems. Statistical representation
of random signals, electrical noise, and spectra. |
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Textbook |
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Textbooks |
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(as time permits) |
• Sets and set
operators, Venn diagrams • Probability spaces and axioms of probability • Combinatorial (counting) analysis • Conditional probability, total probability and Baye’s rule • Statistical independence • Sequential experiments • Single random variables and types of random variables • Important random variables • Distribution and density functions • Functions of one random variable • Expected value of a random variable • Mean, variance, standard deviation, Nth moment, Nth central moment • Markov and Chebyshev inequalities • Transform methods: Characteristic and generating functions, Laplace transform • Generating random variables • Multiple random variables • Joint and marginal distribution and density functions • Functions of several random variables • Joint moments and joint characteristic functions • Conditional expected value • Laws of large numbers and the central limit theorem • Random processes • Mean, autocorrelation, and autocovariance functions • Stationarity • Time-invariant filtering of random processes • Power spectral density • Matched filters and Weiner optimum systems • Markov chains • Examples of practical applications of the theory |
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Policies |
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Honesty |
This statement is a reminder to updhold your obligation as a student at the University of Flordia, and to be honest in all work submitted and exams taken in this class and all others. For more information, please see the academic honor
code. |
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| Grading |
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