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.

In ICA-R, v is a

Gaussian variable having zero mean and unit variance [17].

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.