Sentence examples for coefficients name from inspiring English sources

Exact(1)

As BayesShrink try to find the optimum threshold for every subband, BiShrink uses coefficients, name "parent," to clean up coefficients called "child," and the weighted methods consider the coefficients' noise efficiency, which implies that subbands in the transform domain may be affected by noise differently.

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The coefficients named β are linear regression parameters, ci is a competition index, either the local SDI l or the Hegyi-index as described above.

These schemes which are based on a five point stencil with constant coefficients, named as "(5,5) Constant Coefficient 4th Order Compact" [ 5,5 CC-4OC], give rise to a diagonally dominant system of equations and shows higher accuracy and better phase and amplitude error characteristics than some of the standard methods.

For case 2, we assume the streamwise velocity and the suction/injection velocity at the sheet are taken as U x)=hx+C_{1}frac{partial u}{partial y}+C_{2} frac{partial^{2} u}{partial y^{2}},qquad V x)=-V_{0}, (3.19) where h is a constant and (C_{1}), (C_{2}) are two independent coefficients named the slip coefficients.

As BayesShrink tries to find the optimum threshold for every subband, BiShrink uses coefficients named parent to clean up coefficients called child, and the weighted methods consider the coefficients' noise efficiency, which imply that the subbands in the transform domain may be affected by noise differently.

The other is a data-driven inference approach, which estimates the conditional independency between the genes by calculating the partial correlation coefficients (named "modified path consistency algorithm") [ 10, 11].

When and are both present in the coefficient name, the first of those two letters is related to audio, the second to video.

The best-known way of measuring inequality is the Gini coefficient, named after an Italian statistician called Corrado Gini.

A spatial autocorrelation coefficient, named Moran's I, is plotted in the correlogram for increasing distance classes [ 75].

In Method 7, the NSCT is used as the MST method, and our proposed 'IEOL-max' and 'MSP-con-max' are, respectively, employed to fuse the low and high frequency subbands coefficients (We name it as 'NSCT-MSP-Con').

For Method 6, the fusion rules of [7], which have been deigned based on the feature of the multiscale products and pulse coupled neural network (PCNN) [7], are respectively used to merge the low and high frequency subband LSWT coefficients (We name the method as 'LSWT-PCNN').

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