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Unformatted text preview: ECE 5510: Random Processes Lecture Notes Fall 2008 Lecture 15 Today: (1) Random Process Intro HW 7 due Thu at 5pm. OH today after class until 1:15; Thu 13. Exam 2 is Tue. Nov. 11, two weeks from today. This weeks material concludes the material covered in Exam 2. Next Tue (Nov. 4) is a review class; Thu (Nov 6) I will be out of town, Piyush Agrawal will cover a new topic, Expectation and Sta tionarity of Random Processes. This topic is important for Appl. Assignment 5. AA #4 now due 5pm Wed. Nov. 5th (I dont want to compete with election day); AA #5 now due Tue. Nov. 18. Still waiting for the report from CTLE, so well discuss on Thu. 1 Random Processes This starts into Chapter 10, Stochastic Processes. As Y&G says, The word stochastic means random. So I prefer Random Pro cesses. Whats new? Were watching a random variable change over time, or over space, (or sometimes both). Before we had a few random variables, X 1 ,X 2 ,X 3 . Now we have possibly infinitely many: X 1 ,X 2 ,... . In addition, we may not be taking samples  we may have a continuously changing random variable, indexed by time t . Well denote this as X ( t ). Defn: Random Process A random process X ( t ) consists of an experiment with a probability measure P [ ], a sample space S , and a function that assigns a time (or space) function x ( t,s ) to each outcome s in the sample space. Recall that we used S to denote the event space, and every s S is a possible way that the outcome could occur. ECE 5510 Fall 2008 2 1.1 Continuous and DiscreteTime Types of Random Processes: A random process (R.P.) can be either 1. Discretetime : Samples are taken at particular time in stants, for example, t n = nT where n is an integer and T is the sampling period. In this case, rather than referring to X ( t n ), we abbreviate it as X n . (This matches exactly our previous notation.) In this case, we also call it a random se quence ....
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 Fall '08
 Chen,R

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