Sentence examples for minimum variance condition from inspiring English sources

The CUT method is then combined with a minimum variance condition, to provide a full posterior pdf of the uncertain source parameters, based on observed satellite imagery.

A jointly minimum variance estimator conditioning on the same ordering remains an open problem.

Without designing a controller depending on new operation modes (NOMs), a kind of controller only depending on the original operation modes (OOMs) is proposed and satisfies a minimum variance approximation, whose solvable conditions are also with LMI forms.

This represents a bias-variance trade-off, but we know that the UMVCUE has minimum variance among unbiased estimators that condition on the stage 1 ranking.

Our estimator has the minimum variance among unbiased estimators that condition on the ordering in stage 1, but this holds only marginally for each estimate and not jointly.

A modified minimum variance distortionless response (MVDR) beamformer is designed by exploiting the TEC operating conditions for suppressing the EMIs and enhancing the signal.

We also construct minimum variance unbiased designs and weights which minimize the loss functions subject to a side condition of unbiasedness.

Under certain conditions and under a slightly different RR model a uniformly minimum variance unbiased estimator has been obtained.

ERF sources were identified using a Linearly Constrained Minimum Variance (LCMV) beam former (Van Veen and Buckley 1988), where we calculated a common LCMV filter for all 4 conditions (to increase SNR) per participant.

If these conditions hold uniformly for all possible variance covariance parameters (i.e., there is a UBLUE) and if the data are assumed to be normally distributed, these conditions are also necessary and sufficient for the parametric function to have a uniformly minimum variance unbiased estimator (UMVUE).

This paper investigates conditions under which the state estimate given by this algorithm converges asymptotically to the first order minimum variance estimate given by the extended Kalman filter (EKF).