Minimum Mean Square Error - Properties

Properties

  • Under some weak regularity assumptions, the MMSE estimator is uniquely defined, and is given by
In other words, the MMSE estimator is the conditional expectation of given the known observed value of the measurements.
  • If and are jointly Gaussian, then the MMSE estimator is linear, i.e., it has the form for matrix and constant . As a consequence, to find the MMSE estimator, it is sufficient to find the linear MMSE estimator. Such a situation occurs in the example presented in the next section.
  • The orthogonality principle: An estimator is MMSE if and only if
and
for every affine function of the measurements.

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