Comparison of Gain Function Approximation Methods in the Feedback Particle Filter

2018 21st International Conference on Information Fusion (FUSION) ◽

10.23919/icif.2018.8455574 ◽

2018 ◽

Cited By ~ 1

Author(s):

Karl Berntorp

Keyword(s):

Particle Filter ◽

Function Approximation ◽

Approximation Methods ◽

Gain Function

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Gain function approximation in the feedback particle filter

2016 IEEE 55th Conference on Decision and Control (CDC) ◽

10.1109/cdc.2016.7799105 ◽

2016 ◽

Cited By ~ 8

Author(s):

Amirhossein Taghvaei ◽

Prashant G. Mehta

Keyword(s):

Particle Filter ◽

Function Approximation ◽

Gain Function

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Feedback Particle Filter With Data-Driven Gain-Function Approximation

IEEE Transactions on Aerospace and Electronic Systems ◽

10.1109/taes.2018.2807559 ◽

2018 ◽

Vol 54 (5) ◽

pp. 2118-2130 ◽

Cited By ~ 3

Author(s):

Karl Berntorp ◽

Piyush Grover

Keyword(s):

Particle Filter ◽

Function Approximation ◽

Data Driven ◽

Gain Function

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Error estimates for the kernel gain function approximation in the feedback particle filter

2017 American Control Conference (ACC) ◽

10.23919/acc.2017.7963661 ◽

2017 ◽

Cited By ~ 3

Author(s):

Amirhossein Taghvaei ◽

Prashant G. Mehta ◽

Sean P. Meyn

Keyword(s):

Particle Filter ◽

Error Estimates ◽

Function Approximation ◽

Gain Function

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Diffusion Map-based Algorithm for Gain Function Approximation in the Feedback Particle Filter

SIAM/ASA Journal on Uncertainty Quantification ◽

10.1137/19m124513x ◽

2020 ◽

Vol 8 (3) ◽

pp. 1090-1117

Author(s):

Amirhossein Taghvaei ◽

Prashant G. Mehta ◽

Sean P. Meyn

Keyword(s):

Particle Filter ◽

Function Approximation ◽

Gain Function ◽

Diffusion Map

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A Technique for Improving the Positioning Accuracy of Maximum-Correlation Radio Navigation Systems Through the Use of Decision Function Approximation Methods

Telecommunications and Radio Engineering ◽

10.1615/telecomradeng.v58.i9-10.150 ◽

2002 ◽

Vol 58 (9-10) ◽

pp. 9

Author(s):

Valeriy Ivanovich Antyufeev ◽

I.E. Bakulin ◽

V. N. Bykov ◽

A. M. Grichanyuk ◽

T.V. Miroshnik-Bykova

Keyword(s):

Function Approximation ◽

Decision Function ◽

Approximation Methods ◽

Navigation Systems ◽

Maximum Correlation ◽

Positioning Accuracy ◽

Radio Navigation

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Gain Function Tracking in the Feedback Particle Filter

2019 American Control Conference (ACC) ◽

10.23919/acc.2019.8814606 ◽

2019 ◽

Author(s):

Anand Radhakrishnan ◽

Sean Meyn

Keyword(s):

Particle Filter ◽

Gain Function

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A taxonomy and comparison of data smoothing and function approximation methods

Journal of Biomechanics ◽

10.1016/0021-9290(81)90159-7 ◽

1981 ◽

Vol 14 (7) ◽

pp. 500

Author(s):

Lebert R. Alley ◽

James L. Smith

Keyword(s):

Function Approximation ◽

Approximation Methods ◽

Data Smoothing ◽

And Function

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Control volume function approximation methods and their applications to modeling porous media flow II: the black oil model

Advances in Water Resources ◽

10.1016/j.advwatres.2003.12.003 ◽

2004 ◽

Vol 27 (2) ◽

pp. 99-120 ◽

Cited By ~ 10

Author(s):

Baoyan Li ◽

Zhangxin Chen ◽

Guanren Huan

Keyword(s):

Porous Media ◽

Function Approximation ◽

Control Volume ◽

Porous Media Flow ◽

Approximation Methods ◽

Volume Function ◽

Black Oil ◽

Black Oil Model

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Estimation in the partially observed stochastic Morris–Lecar neuronal model with particle filter and stochastic approximation methods

The Annals of Applied Statistics ◽

10.1214/14-aoas729 ◽

2014 ◽

Vol 8 (2) ◽

pp. 674-702 ◽

Cited By ~ 20

Author(s):

Susanne Ditlevsen ◽

Adeline Samson

Keyword(s):

Particle Filter ◽

Stochastic Approximation ◽

Neuronal Model ◽

Approximation Methods ◽

Partially Observed

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Comparative analysis of function approximation methods applied to image processing

Pattern Recognition and Image Analysis ◽

10.1134/s1054661807020071 ◽

2007 ◽

Vol 17 (2) ◽

pp. 217-221 ◽

Cited By ~ 2

Author(s):

V. V. Sergeev ◽

V. N. Kopenkov ◽

A. V. Chernov

Keyword(s):

Image Processing ◽

Comparative Analysis ◽

Function Approximation ◽

Approximation Methods ◽

Analysis Of Function

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