7.6.1. You wish to measure random variable X with expected value E[X] = 1 and variance Var[X] = 1, but your measurement procedure yields the noisy observation Y = X +Z, where Z is the Gaussian (0, 2) noise that is independent of X. (a) Find the conditional PDF fzx(z|x) of Z given X =x. (b) Find the conditional PDF fyxy/2) of Y given X = 2. Hint: Given X = x, Y =x +Z.

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7.6.1. You wish to measure random variable X with expected value E[X] = 1 and variance Var[X] =
%3D
1, but your measurement procedure yields the noisy observation Y = X +Z, where Z is the Gaussian
(0, 2) noise that is independent of X.
(a) Find the conditional PDF fzjx(z|x)of Z given X =x.
(b) Find the conditional PDF fyx(y/2) of Y given X = 2. Hint: Given X = x, Y = x +Z.
Transcribed Image Text:7.6.1. You wish to measure random variable X with expected value E[X] = 1 and variance Var[X] = %3D 1, but your measurement procedure yields the noisy observation Y = X +Z, where Z is the Gaussian (0, 2) noise that is independent of X. (a) Find the conditional PDF fzjx(z|x)of Z given X =x. (b) Find the conditional PDF fyx(y/2) of Y given X = 2. Hint: Given X = x, Y = x +Z.
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