Gaussian


Also found in: Dictionary, Thesaurus, Medical, Encyclopedia, Wikipedia.
Related to Gaussian: Gaussian blur

Gaussian

A system whose probabilities are well described by the normal distribution, or bell shaped curve.
References in periodicals archive ?
Keywords: Wireless sensor networks, localization algorithms, non-localizable problem, Gaussian mixture model, collaborative and predictive schemes
Then the Gaussian Process method for the bias function is built and employed to correct the previously built low fidelity meta-model.
The different types of filtering technique include average, disk, mean median, Gaussian, Laplacian, motion, Perwitt, Sobel, Median and Adaptive Median filter.
However, in many such cases the averaging integral includes either the Gaussian Q-function, either directly related functions: error function, erf (x), and/or complementary error function erfc (x).
Abstract: In order to inspect solder joint defects of ICs on PCBs, an IC solder joint inspection algorithm has been developed based on a Gaussian mixture model, which is quite different from the traditional classifier-based methods.
Keywords: total variation, ROF model, gaussian noise, poisson noise, image processing, biomedical image, eulerlagrange equation
If his visit were at the beginning, or 25 percent of the Gaussian curve, then one-quarter of the Wall's life would be passed, with three-quarters remaining.
The mixing signals x(t) have strong Gaussian characteristics according to the central limit theorem.
We use Gaussian smoothing, as opposed to Gaussian or wavelet scaling, so our method is identical to methods that perform single scaling.
The occurrence of three exceptional moves in the space of just four trading sessions underscores changes in oil prices do not follow a normal or Gaussian distribution, named after the 19th century mathematical genius Carl Friedrich Gauss.
The objective of this study is to implement a text-independent speaker verification system based on Gaussian Mixture Model (GMM) and Support Vector Machine (SVM).
The most common activation functions of RBF neural network are Gaussian, Multiquadric, Inverse Quadratic, Inverse Multiquadric and Polyharmonic spline [8].