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Gaussian distribution

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Gaussian distribution

[¦gau̇·sē·ən ‚dis·trə′byü·shən]
(statistics)
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.

Gaussian distribution

This article is provided by FOLDOC - Free Online Dictionary of Computing (foldoc.org)

Gaussian distribution

A random distribution of events that is graphed as the famous "bell-shaped curve." It is used to represent a normal or statistically probable outcome and shows most samples falling closer to the mean value. See Gaussian noise and Gaussian blur.
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Contour plot for the Geoclimatic factor K February using Kriging (Gaussian)
(2) We proved that adaptive Gaussian mechanism achieves differential privacy and ensures expected data utility under any privacy budget.
All combinations of pairs need to be evaluated and once the pair of components i and j are selected, they are merged to form a new Gaussian component ij, and the parameters are determined as:
1: The 3D map of the propagation of Gaussian (a, b) and secanthyperbolic (c, d) pulses and its spectra.
The following example shows Gaussian of the individual intersection points and the reference (as shown by Figure 3) with the D8s1179 locus where the allele values are individual STR-DNA = 13 and the allele value of one in reference STR-DNA = 13.3 and the allele value of two on the individual STR-DNA = 14 and the value of the two alleles in the reference STR-DNA = 14.1.
Through modeling the nonsymmetric deterministic angular signal distribution function by Gaussian mixture, we have presented a parameter estimation method under an EM framework based on L-shaped arrays.
According to the GLMT, the particle is randomly located in the Gaussian beam, and the scattering properties are also determined by the location information in the beam.
The measurement noise for the ToA and AoA measurements is assumed to be zero-mean Gaussian distributed with variances [[sigma].sup.2.sub.d,j] and [[sigma].sup.2.sub.[theta],j], respectively, for the jth transmitter.
Hence have applied bilateral filtering on images that are corrupted by additive white Gaussian noise with different values of variances.
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