Gaussian distribution

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Related to Gaussian: Gaussian blur

Gaussian distribution

[¦gau̇·sē·ən ‚dis·trə′byü·shən]
(statistics)

Gaussian distribution

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.
References in periodicals archive ?
Then, we design the Gaussian mixture models (GMM) and introduce how to predict the posterior trajectory of the mobile target.
There are various types of correlation function and the most commonly used correlation function is Gaussian correlation function, which is expressed as follows:
Initially the original ultrasound kidney image is taken and is added with the Gaussian and Salt and pepper noise.
We start with the formal definition of the Gaussian Q-function Q(x), defined as [11]-[13] follows
This model is often used to remove not only Gaussian noise, but also other types of noise.
To select the Gaussian component of the fusion image, we use the low population map [M.
If assuming the feature vectors are independent, the density of the observed feature vectors extracted from hidden phonetic classes is a Gaussian mixture density [7].
3 shows the dependence of the mean square error of approximation on neural network configuration (submitted at figure in the form of two numbers n-m, where n is the number of neurons in the input layer, m is the number of hidden layer neurons) for activation function Gaussian for both studied software products.
But the Gaussian copula's link to the normal distribution was not its only appeal.
After a short review on signal detection under Gaussian noise in [section]2, in [section]3 we incorporate small deviation from Gaussian distribution in terms of the Edgeworth expansion and calculate the likelihood ratio with it.
x] = 0), but the fits to the 2D Gaussian results are systematically some 10 % higher than the analytical results.