Sentence examples for minimum variance algorithm from inspiring English sources

The generalized minimum variance algorithm is applied to regulate ORC based waste heat recovery system.

It provides a linear, unbiased, minimum variance algorithm to optimally estimate the state of the system from noisy measurements.

In this work, the MVC is, therefore, obtained by liftering a logarithmic power spectrum, and the lifter bank is designed by the minimum variance algorithm.

Compared with this parametric approach, the nonparametric approach in AWclust [ 41] uses allele-sharing distance (ASD) and Ward's minimum variance algorithm to cluster the individuals in the ASD matrix.

In the adaptive monopulse angle tracking, the signal of interest (SOI) may be present in any direction inside the 3dB beam scope, which may cause the distortion of the sum and difference patterns formed by linearly constrained minimum variance (LCMV) algorithm [10].

In brief, SAM uses a linearly constrained minimum variance beamformer algorithm [Van Veen et al., 1997] to estimate the electrical activity in each part of a predefined source space through a weighted sum of the sensor channels.

When compared with conventional LMS based linear constrained minimum variance (LCMV) beamforming algorithm, NSASC and NSAMC converge in a faster manner; and compared with QR-RLS based minimum variance distortionless response (MVDR) beamformer, NSASC and NSAMC have lower complexity.

A minimum variance feedback control algorithm (MVFCA) for a second-order dynamic time-delay system described in this paper calculates a series of adjustments required at the input that minimise the variance (mean square error, MSE) of the output variable.

The main contribution includes three aspects which propose a scalable MAC messages management and the corresponding architecture, an applicable for multi-hop relay network topology architecture, and a two-stage minimum variance bandwidth allocation algorithm.

HCA were conducted using the ward's minimum variance linkage clustering algorithm within ArrayTrack.

We utilized the linearly constrained minimum variance (LCMV) beamformer algorithm (Barnes et al., 2003) in SPM8 (Litvak et al., 2011) to estimate cortical sources that exhibited significant increases in theta (4 8 Hz), low (30 45 Hz) and high (65 85 Hz) gamma power between baseline periods of quiet fixation and cue periods of putative spatial memory retrieval.