Sentence examples for minimum signal deviation from inspiring English sources

Our Monte Carlo simulations support the theoretical results and show that, in comparison with existing designs, the K-optimal design leads to the minimum signal deviation.

However, our Monte Carlo simulations in Section 4 show that, for realistic cases (Rician noise on S(g i ) and anisotropic tensors), the proposed GES yields the minimum signal deviation and the minimum rotational variance.

It can be seen that, in all cases, K-optimal GES has the minimum mean value of signal deviation (corresponding numbers are denoted by bold font).

The readings were processed using the following equation in order to compute the Z-factor: where μ C + is the mean of the maximum signal and μ C – is the mean of the minimum signal, ρ C + is the standard deviation of the maximum signal, and ρ C – is the standard deviation of the minimum signal.

The maximum amplitude of these 2ML Gaussian independent and identically distributed random variables with standard deviation σ / 2 will then be considered as the minimum signal amplitude so that we set α = σ log ( 2 ML ).

The Z'-factor was calculated as follows: Z'-factor = 1 − 3 × (sp + sn)/¦mp − mn¦, where m: mean fluorescence intensity and s: standard deviation; n: negative control (sh-Trf1 or eGFP-Trf1+/KI heterozygous, minimum signal) and p: positive control (homozygous eGFP-Trf1KI/KI, maximum signal).

where sat → minimum signal attenuation threshold.

The absolute minimum signal for a validation target is the limit of quantitation (LOQ), which was experimentally determined to be an 11.5 pm shift based off of the signal and standard deviation of a blank response.

All spectral measurements were recorded using a mirror speed of 1 cm s-1, a spectral resolution of 8 cm-1, and a minimum signal-to-noise ratio of 200 (signal: maximum of the amide I band; noise: the standard deviation in the spectral range 1800 190000 cm-1).

Due to inhomogeneous wall thickness, thus different minimum radii to gain transmurality, this effect of "intermediate silence" is buried under the influence of stronger signal deviations caused by larger ischemic regions.

Q-Model(2) achieves the minimum average deviation.