How do you calculate MMSE estimator?
The linear MMSE estimator of the random variable X, given that we have observed Y, is given by ˆXL=Cov(X,Y)Var(Y)(Y−EY)+EX=ρσXσY(Y−EY)+EX. The estimation error, defined as ˜X=X−ˆXL, satisfies the orthogonality principle: E[˜X]=0,Cov(˜X,Y)=E[˜XY]=0.
What is LMMSE?
The linear minimum MSE estimator (LMMSE) estimator is: ̂θ = ̂AT x = ΣθxΣ−1. xx x. 2 Orthogonality Principle.