Англо-русский словарь промышленной и научной лексики. 2014.
Estimation theory — is a branch of statistics and signal processing that deals with estimating the values of parameters based on measured/empirical data. The parameters describe an underlying physical setting in such a way that the value of the parameters affects… … Wikipedia
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
Kalman-Filter — Das Kalman Filter ist ein nach seinem Entdecker Rudolf E. Kálmán benannter Satz von mathematischen Gleichungen. Mithilfe dieses Filters sind bei Vorliegen lediglich fehlerbehafteter Beobachtungen Rückschlüsse auf den Zustand von vielen der… … Deutsch Wikipedia
Kalman-Bucy-Filter — Das Kalman Filter ist ein nach seinem Entdecker Rudolf E. Kálmán benannter Satz von mathematischen Gleichungen. Mithilfe dieses Filters sind bei Vorliegen lediglich fehlerbehafteter Beobachtungen Rückschlüsse auf den exakten Zustand von… … Deutsch Wikipedia
Kálmán-Filter — Das Kalman Filter ist ein nach seinem Entdecker Rudolf E. Kálmán benannter Satz von mathematischen Gleichungen. Mithilfe dieses Filters sind bei Vorliegen lediglich fehlerbehafteter Beobachtungen Rückschlüsse auf den exakten Zustand von… … Deutsch Wikipedia
Nonlinear filter — A nonlinear filter is a signal processing device whose output is not a linear function of its input. Terminology concerning the filtering problem may refer to the time domain (state space) showing of the signal or to the frequency domain… … Wikipedia
Matched filter — In telecommunications, a matched filter (originally known as a North filter[1]) is obtained by correlating a known signal, or template, with an unknown signal to detect the presence of the template in the unknown signal. This is equivalent to… … Wikipedia
Particle 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 … Wikipedia
Extended Kalman filter — In estimation theory, the extended Kalman filter (EKF) is the nonlinear version of the Kalman filter which linearizes about the current mean and covariance. The EKF is often considered the de facto standard in the theory of nonlinear state… … Wikipedia
List of digital estimation techniques — *Linear models **Parameter Estimation ***Deterministic parameters ****Least squares (batch and recursive processing) ****Best linear unbiased estimation (BLUE) ****Maximum likelihood ***Random parameters ****Mean squared ****Maximum a posteriori… … Wikipedia
Point estimation — In statistics, point estimation involves the use of sample data to calculate a single value (known as a statistic) which is to serve as a best guess for an unknown (fixed or random) population parameter.More formally, it is the application of a… … Wikipedia
