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Unformatted text preview: UCSD ECE153 Handout #18 Prof. YoungHan Kim Thursday, April 28, 2011 Homework Set #5 Due: Thursday, May 5, 2011 1. Neural net. Let Y = X + Z , where the signal X ∼ U[ 1 , 1] and noise Z ∼ N (0 , 1) are independent. (a) Find the function g ( y ) that minimizes MSE = E bracketleftbig (sgn( X ) g ( Y )) 2 bracketrightbig , where sgn( x ) = braceleftBigg 1 x ≤ +1 x > . (b) Plot g ( y ) vs. y . 2. Additive shot noise channel. Consider an additive noise channel Y = X + Z , where the signal X ∼ N (0 , 1), and the noise Z { X = x } ∼ N (0 , x 2 ), i.e., the noise power of increases linearly with the signal squared. (a) Find E ( Z 2 ). (b) Find the best linear MSE estimate of X given Y . 3. Estimation vs. detection. Let the signal X = braceleftbigg +1 , with probability 1 2 1 , with probability 1 2 , and the noise Z ∼ Unif[ 2 , 2] be independent random variables. Their sum Y = X + Z is observed. (a) Find the best MSE estimate of X given Y and its MSE....
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This note was uploaded on 11/02/2011 for the course ECE 153 taught by Professor Staff during the Spring '08 term at UCSD.
 Spring '08
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