Unformatted text preview: Assignment 3, EE 131A Due: Wednesday October 25, 2006 Problem 1. Consider a binary communication channel where the probabilities of inputs “0” and “1” into the system are p and 1 p , respectively. Suppose that the transmission errors occur at random with probability ε . For i = 0 , 1 , let A i be the event “input was i ,” and B i be the event “output was i .” Thus P [ A ] = p , P [ A 1 ] = 1 p , P [ B  A ] = 1 ε , P [ B 1  A ] = ε , P [ B  A 1 ] = ε , and P [ B 1  A 1 ] = 1 ε . Find the value of ε for which the input of the channel is independent of the output of the channel. Problem 2. Suppose that for the general population, 1 in 5000 people carries the human immun odeficiency virus (HIV). A test for the presence of HIV yields either a positive ( + ) or negative ( ) response. Suppose the test gives the correct answer 99% of the time. What is P [ H ] , the conditional probability that a person tests negative given that the person does have the HIV virus?conditional probability that a person tests negative given that the person does have the HIV virus?...
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This note was uploaded on 06/09/2010 for the course EE 131A taught by Professor Lorenzelli during the Spring '08 term at UCLA.
 Spring '08
 LORENZELLI

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