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(from the 2011-2013 General Catalog updated as of  May 16, 2013)

Random Processes in Systems  --  Electrical Engineering  (EL ENG) 226A [4 units]
Course Format: Three hours of lecture and one hour of discussion per week.
Prerequisites: 120 and Statistics 200A or equivalent.
Formerly 226
Description: Probability, random variables and their convergence, random processes. Filtering of wide sense stationary processes, spectral density, Wiener and Kalman filters. Markov processes and Markov chains. Gaussian, birth and death, poisson and shot noise processes. Elementary queueing analysis. Detection of signals in Gaussian and shot noise, elementary parameter estimation.
(F) Anantharam
 
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