Sentence examples for variance characteristics from inspiring English sources

Figure 4 shows the resulting MMSE estimation error variance characteristics of information symbols.

We provide the MMSE variance characteristics for the case when the true channel was used in (21) as well as the case where estimated channels were used.

Soil moisture at each LU shows significantly different variance characteristics when compared with other units, and the delineation procedure reduces the spatial variation of soil moisture within each LU.

Although many datasets have a variance that is intensity-dependent [ 12, 15, 21- 26], some studies have analyzed datasets whose variance characteristics are not strongly intensity-dependent (e.g., [ 35]).

*Rm - the branch length characteristic, Rv - the branch length variance characteristic (see Methods).

The spatial smoothing was performed to reduce random noise in the data that comes from the high variance characteristic of small populations or small case numbers [ 18].

The PLS-DA model is built using a balanced set of model set samples (the same number of samples from each group) that represent the possible sources of variance characteristic for the two groups of samples well [ 24].

To reduce random noise in the data that comes from the high variance characteristic of small populations or small case numbers (26), we performed the smoothing type of spatial filtering.

Mark Blows (University of Queensland) focused on the complex distribution of genetic variance, because characteristics of pleiotropy will have large effects on multivariate response to selection.

Since the variance WIE characteristic has been preliminarily verified to measure the complex degree of the SAR images, the defects for traditional CFAR algorithm to conduct detection for SAR images with high resolution have been overcome.

Importantly, the homeostatic system reaches a fixed point when the firing rate mean and variance reach characteristic values determined by homeostasis parameters, so the mean and variance at equilibrium are independent of the details of the neuron model, including stimulus statistics.