recursive filtering
1Recursive Bayesian estimation — is a general probabilistic approach for estimating an unknown probability density function recursively over time using incoming measurements and a mathematical process model. Model The true state x is assumed to be an unobserved Markov process,… …
2Recursive recycling — is a technique where a function, in order to accomplish a task, calls itself with some part of the task or output from a previous step. In municipal solid waste and waste reclamation processing it is the process of extracting and converting… …
3Bayesian spam filtering — (pronounced BAYS ee ən, IPA pronunciation: IPA| [ beɪz.i.ən] , after Rev. Thomas Bayes), a form of e mail filtering, is the process of using a naive Bayes classifier to identify spam e mail.The first known mail filtering program to use a Bayes… …
4Bayesian Filtering Library — (BFL) is an open source C++ library for recursive Bayesian estimation. The library is mainly written by the Belgian scientist Klaas Gadeyne, and runs on Linux, Mac OS X, and Microsoft Windows. Features * Kalman filtering * Particle filters *… …
5Scale space implementation — Scale space Scale space axioms Scale space implementation Feature detection Edge detection Blob detection Corner detection …
6Zakai equation — The Zakai equation is a linear recursive filtering equation for the un normalized density of a hidden state. In contrast, the Kushner equation gives a non linear recursive equation for the normalized density of the hidden state. See also *Kalman… …
7рекурсивная фильтрация — — [Л.Г.Суменко. Англо русский словарь по информационным технологиям. М.: ГП ЦНИИС, 2003.] Тематики информационные технологии в целом EN recursive filtering …
8Kalman 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)… …
9Digital filter — A general finite impulse response filter with n stages, each with an independent delay, di, and amplification gain, ai. In electronics, computer science and mathematics, a digital filter is a system that performs mathematical operations on a… …
10Particle filter — Particle filters, also known as sequential Monte Carlo methods (SMC), are sophisticated model estimation techniques based on simulation. They are usually used to estimate Bayesian models and are the sequential ( on line ) analogue of Markov chain …
