As in an earlier exercise, we assume that the random variables Θ and X are described by a joint PDF which is uniform on the triangular set defined by the constraints 0 ≤ x ≤ 1, 0 ≤θ≤ x.a) Find an expression for the conditional mean squared error of the LMS estimator given that X = x, valid for x ∈ [0, 1]. Express your answer in terms of x using standard notation.b) Find the (unconditional) mean squared error of the LMS estimator.
As in an earlier exercise, we assume that the random variables Θ and …
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