question archive The noisy environment is often times modeled with an additive channel
The noisy environment is often times modeled with an additive channel
Subject:MathPrice: Bought3
The noisy environment is often times modeled with an additive channel. The output of a channel Y equals to X + N, where the input X and the noise N are independent, zero-mean random variables with standard deviations ox and ow, respectively. (a) Find the correlation coefficient between the input X and the output Y. (b) Suppose we estimate the input X by a linear function g(Y ) = aY. g(Y) is called a linear estimator of X. Find the value of a that minimizes the mean squared error E [(X - aY)'], a commonly used error metric. (c) Express the resulting mean-square error in terms of ox and ON
