2. Suppose we have the following observation model: x = Hs+n, = [X1, X2, ..., XN], H is a known matrix, s is 0-mean where x is the vector of observations, x = vector with covariance matrix Rs, and n is N(0, R₂). a) Derive the MMSE estimate for s. b) Use the orthogonality principle to compute the MMSE (the error) for the estimator from part a).
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