adaptive smoothing

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• Adaptive Audio — technology allows a traditional interactive voice response, or IVR system to become adaptive to the skills and preferences of individual telephone callers in real time. When operating in this adaptive mode, the IVR dynamically adjusts the… …   Wikipedia

• adaptive exponential smoothing — A quantitative forecasting technique in which averages derived from historical data are smoothed by a coefficient, which is allowed to fluctuate with time in relation to changes in the demand pattern. The larger the coefficient, the greater the… …   Big dictionary of business and management

• exponential smoothing — See adaptive exponential smoothing …   Big dictionary of business and management

• Kalman filter — Roles of the variables in the Kalman filter. (Larger image here) In statistics, the Kalman filter is a mathematical method named after Rudolf E. Kálmán. Its purpose is to use measurements observed over time, containing noise (random variations)… …   Wikipedia

• Smoothed particle hydrodynamics — (SPH) is a computational method used for simulating fluid flows. It has been used in many fields of research, including astrophysics, ballistics, vulcanology and oceanology. It is a mesh free Lagrangian method (where the co ordinates move with… …   Wikipedia

• Nonparametric regression — is a form of regression analysis in which the predictor does not take a predetermined form but is constructed according to information derived from the data. Nonparametric regression requires larger sample sizes than regression based on… …   Wikipedia

• List of numerical analysis topics — This is a list of numerical analysis topics, by Wikipedia page. Contents 1 General 2 Error 3 Elementary and special functions 4 Numerical linear algebra …   Wikipedia

• Scale space — theory is a framework for multi scale signal representation developed by the computer vision, image processing and signal processing communities with complementary motivations from physics and biological vision. It is a formal theory for handling …   Wikipedia

• Kernel density estimation — of 100 normally distributed random numbers using different smoothing bandwidths. In statistics, kernel density estimation is a non parametric way of estimating the probability density function of a random variable. Kernel density estimation is a… …   Wikipedia

• Meshfree methods — are a particular class of numerical simulation algorithms for the simulation of physical phenomena. Traditional simulation algorithms relied on a grid or a mesh, meshfree methods in contrast use the geometry of the simulated object directly for… …   Wikipedia

• Claude Shannon — Claude Elwood Shannon (1916 2001) Born April …   Wikipedia