Sentence examples for mean square average from inspiring English sources

The asymptotic unbiased mean square average consensus and asymptotic unbiased almost sure average consensus were obtained.

They gave a necessary and sufficient condition for mean square average consensus with fixed graph topologies and sufficient conditions for mean square average consensus and almost sure consensus with time-varying graph topologies.

In [19], the authors showed that a necessary and sufficient condition for asymptotically unbiased mean square average consensus is that the consensus gains satisfy the step rule similar to that of classical stochastic approximation.

The AFM image (Figure 1A) was obtained before any treatment of PSiMc surface, revealing a high porosity top layer, with a roughness (calculated as root mean square average (RMS)) of 882 ± 150 pm.

Sq expresses the standard deviation of the height values within the image, Sdq the root mean square average of the local surface slopes within the sampling area and Sdr the increment of the interfacial surface area relative to the area of the projected (flat) x-y plane (Stout et al. [1993]).

In addition, note that the saturation root mean square, average error and standard deviation decrease as we go as the following methods are used: (1) conventional methods to (2) CAPE method with parameter (a) equals to one, (3) 3D method, and (4) CAPE with, a, variable.

Secondly, for the cases with measurement noises, necessary and sufficient conditions are given on the consensus gains to achieve asymptotic unbiased mean square average-consensus.

In addition, for the noise-free case, necessary and sufficient conditions are given on the network topology and consensus gains to achieve average-consensus; and for the noisy measurement case, by combining algebraic graph theory and stochastic analysis, necessary and sufficient conditions are given on the consensus gains to achieve asymptotically unbiased mean square average-consensus.

Root mean square averages (RMS) recorded in microvolts were transformed into percentages (normalization) of the reference value.

It was expressed as root-mean square average of coefficient of variation, which is abbreviated for CVRMS.

If p = 2, we called it reach mean-square average consensus.