Sample matrix inversion (or direct matrix inversion) is an algorithm that estimates weights of an array (adaptive filter) by replacing the correlation matrix Ru with its estimate. Using K samples
The expression of the theoretically optimal weights requires the inverse of Ru, and the inverse of the estimates matrix is then used for finding estimated optimal weights.
References
Sample matrix inversion Wikipedia(Text) CC BY-SA