Filters
Parameter Estimation of MLP Network by Particle Filters
filtering methods is treated. The truncated second-order filter is applied within the framework of the particle filter approach to design the truncated second-order. Further, the particle filter ...
BB - Aplikovaná statistika, operační výzkum
- 2006 •
- D
Rok uplatnění
D - Stať ve sborníku
On Persistence of Convergence of Kernel Density Estimates in Particle Filtering
A sufficient condition is provided for keeping the character of the filtering density in the filtering task. This is done for the Sobolev class of filtering densities. As a consequence, estimating the filtering den...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2020 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
On Persistence of Convergence of Kernel Density Estimates in Particle Filtering
A sufficient condition is provided for keeping the character of the filtering density in the filtering task. This is done for the Sobolev class of filtering densities. As a consequence, estimating the filtering den...
Statistics and probability
- 2020 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Software Analysis Unifying Particle Filtering and Marginalized Particle Filtering
Abstract Particle filtering has evolved into wide range of techniques giving implementations. In this paper, particle filtering is studied together with marginalized particle filtering and a gener...
BC - Teorie a systémy řízení
- 2010 •
- D
Rok uplatnění
D - Stať ve sborníku
Setting Sample Size in Particle Filters Using Cramer-Rao Bound
Particle filter solution of state estimation for stochastic nonlinear system is addressed. Aspects of particle filter are discussed and attention is devoted namely sample size in particle filter i...
BC - Teorie a systémy řízení
- 2002 •
- C
Rok uplatnění
C - Kapitola v odborné knize
Setting sample size in particle filters using chamer-rao bound
Particle filter solution of state estimation for stochastic nonlinear system is addressed. Aspects of particle filter are discussed and attention is devoted namely of sufficientsample size in particle ...
BC - Teorie a systémy řízení
- 2001 •
- D
Rok uplatnění
D - Stať ve sborníku
Grid-Based Map Making using Particle Filters
This paper deals with probabilistic bayes filter and describes it as particle filter. Next part describes sensor and motion model of the mobile robot and the main part is about map making with particle fil...
JC - Počítačový hardware a software
- 2008 •
- D
Rok uplatnění
D - Stať ve sborníku
Setting sample size in particle filters using Cramer-Rao bound
Particle filter solution of state estimation for stochastic nonlinear system is addressed. Aspects of particle filter are discussed and attention is devoted namely to crucial parameter of the filter - samp...
BC - Teorie a systémy řízení
- 2005 •
- D
Rok uplatnění
D - Stať ve sborníku
Truncated Unscented Particle Filter
with nonlinear inequality constraints is treated. The paper focuses on a particle filtering function. A new computationally efficient particle filter for the constrained estimation problem is proposed. The importa...
BC - Teorie a systémy řízení
- 2011 •
- D
Rok uplatnění
D - Stať ve sborníku
Marginalized particle filter for sensorless control of PMSM drives
Marginalized particle filter is a stochastic filter combining Kalman filters with particle filters. It decomposes the model into linear and nonlinear part and applies the Kalman filter fo...
JA - Elektronika a optoelektronika, elektrotechnika
- 2012 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
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