Based on the realization construction of state prediction and measurement update, Kalman filter can obtain the optimal estimation of state under the linear minimum variance criterion.
The transfer function obtained was then used to implement two components of the above mentioned concepts, namely controllers, based on the minimum variance criterion, and statistical control charts.
The minimum variance criterion, which has often been used in traditional kriging techniques, does not always guarantee optimal estimates for the decision-making process in geotechnical engineering.
The proposed reduced-rank scheme is based on a constrained joint iterative optimization of filters according to the minimum variance criterion.
Some authors explained the speed-curvature correlation as a way of minimizing the effects of steering errors [32, 36], which is the same conceptual argument of minimum variance criterion used to explain the origin of the two-thirds power law.
Thus, the STAP based on the linearly constrained minimum variance criterion can be formulated as min w w H R l w s. t. w H Vec S t l = 1, (35).
Hierarchical clustering in addition needs a measure for the distance between clusters (a "linkage criterion"), and again several common measures were tried: single linkage (minimum intercluster dissimilarity), complete (maximum intercluster dissimilarity), average dissimilarity, dissimilarity of cluster centroids or medians, and finally the Ward minimum variance criterion.
It has been shown in [11] that converges to the solution of the conventional optimum array beamforming based on the linearly constrained minimum variance (LCMV) criterion when approaches infinity.
Guo evaluates the interference cancelation performance of various schemes based on the minimum variance distortionless response (MVDR) criterion, in both time domain and Doppler domain [14].
Using the criterion of minimum variance of the output concentration, it is shown that blender performance depends only on the residence time distribution of the blender and the autocovariance function of the input concentration.
