Sentence examples for using a minimum variance from inspiring English sources

The second problem, the robustness of the tracking, is addressed using a minimum variance control approach.

It is well known that if we intend to use a minimum variance control strategy, which is designed based on a model obtained from an identification experiment, the best experiment which can be performed on the system to determine such a model (subject to output power constraints, or for some specific model structures) is to use the true minimum variance controller.

With these performance indices, the optimal gains of the PVM α- β- γ filters are determined using a minimum-variance filter criterion.

However, this finding probably just reflects that the use of this weighting system leads to higher required sample sizes than the use of a minimum variance weights system (cf Tables 3 and 4) and therefore higher power.

This paper extends the description and evaluation of the system proposed by the authors in [4], which consists of a commonly used combination of a minimum variance distortionless response (MVDR) beamformer with a single-channel spectral enhancement scheme.

The technique uses a decoupling procedure optimized by a minimum variance error to estimate the inductance and resistance of the motor.

First, a minimum variance distortionless response beamformer with an online estimated noise coherence matrix is used to suppress noise and reverberation.

It is a wide belief that the minimum variance controller should be the optimal choice, since we perform an experiment for designing a minimum variance controller.

Following recent neuroscience work on the modulation of the premotor mirror neuron activity during the observation of unpredictable grasping movements, we present here an implementation of our HAMMER architecture using the minimum variance model for implementing reaching and grasping movements that have biologically plausible trajectories.

The receiver bias for a single receiver at Chumpon station is calculated using the minimum variance method (Ma and Maruyama, 2003).

For a comparison, we also estimated the normal angles using the minimum variance analysis (MVA) and coplanarity methods (Takeuchi et al. 2002; Keika et al. 2009).