filter estimate

filter estimate
оценка (полученная) с помощью фильтра

Авиасловарь. . 2004.

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  • 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

  • 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

  • Recursive least squares filter — Recursive least squares (RLS) algorithm is used in adaptive filters to find the filter coefficients that relate to recursively producing the least squares (minimum of the sum of the absolute squared) of the error signal (difference between the… …   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

  • Least mean squares filter — Least mean squares (LMS) algorithms are a class of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to producing the least mean squares of the error signal (difference between the desired and the… …   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

  • Ensemble Kalman filter — The ensemble Kalman filter (EnKF) is a recursive filter suitable for problems with a large number of variables, such as discretizations of partial differential equations in geophysical models. The EnKF originated as a version of the Kalman filter …   Wikipedia

  • Adaptive filter — An adaptive filter is a filter that self adjusts its transfer function according to an optimizing algorithm. Because of the complexity of the optimizing algorithms, most adaptive filters are digital filters that perform digital signal processing… …   Wikipedia

  • Inferior vena cava filter — An inferior vena cava filter, also IVC filter a type of vascular filter, is a medical device that is implanted into the inferior vena cava to prevent pulmonary emboli (PEs). IVC filters are used in case of contraindication to anticoagulation,… …   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

  • Fast Kalman filter — The fast Kalman filter (FKF), devised by Antti Lange (1941 ), is an extension of the Helmert Wolf blockingfn|1 (HWB) method from geodesy to real time applications of Kalman filtering (KF) such as satellite imaging of the Earth. Kalman filters are …   Wikipedia


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