Results 31 to 40 of about 9,957 (160)
Particle filtering with alpha-stable distributions [PDF]
, 2005 In this paper we introduce a novel sequential Monte Carlo technique, which is based on the family of symmetric alpha- stable (SAS) distributions.
D. Bull +9 more
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Theoretical enhancement of the Gaussian filtering of engineering surfaces [PDF]
, 2013 This study is an extension of the current use of Gaussian filters to smooth surface texture waveforms. It suggests an extension using Hermite polynomials to improve the definition of boundary lines and edges in the geometry of structured surfaces, and to
Whitehouse, D. J. (David J.)
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PENGGUNAAN METODE ACTIVE CONTOUR UNTUK SEGMENTASI PARASIT MALARIA PLASMODIUM FALCIPARUM
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2015 ABSTRAK Plasmodium falciparum merupakan penyebab malaria tropika atau malaria falciparum. Spesies ini paling berbahaya dibandingkan keempat spesies lainnya karena dapat menyebabkan komplikasi malaria serebral.
Endi Permata
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Multi-Sensor Integrated Navigation Fusion Algorithm Based on Maximum Correntropy Criterion [PDF]
Hangkong bingqiAiming at the decreasing problem that the filtering accuracy of traditional multi-sensor integrated navigation system information fusion method under non-Gaussian measurement noise， this paper extends Kalman filter based on maximum correntropy criterion （
Lin Xueyuan, Pan Xinlong, Li Xin
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Convergence rates of Gaussian ODE filters [PDF]
Statistics and Computing, 2020 AbstractA recently introduced class of probabilistic (uncertainty-aware) solvers for ordinary differential equations (ODEs) applies Gaussian (Kalman) filtering to initial value problems. These methods model the true solutionxand its firstqderivativesa priorias a Gauss–Markov process$${\varvec{X}}$$X, which is then iteratively conditioned on information
Hans Kersting +2 more
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Particle Gaussian mixture filters-I
Automatica, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dilshad Raihan Akkam Veettil +1 more
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Multiplicative Gaussian Particle Filter
CoRR, 2020 We propose a new sampling-based approach for approximate inference in filtering problems. Instead of approximating conditional distributions with a finite set of states, as done in particle filters, our approach approximates the distribution with a weighted sum of functions from a set of continuous functions.
Xuan Su, Wee Sun Lee, Zhen Zhang 0008
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Linear and nonlinear filtering in mathematical finance: a review [PDF]
, 2010 Copyright @ The Authors 2010This paper presents a review of time series filtering and its applications in mathematical finance. A summary of results of recent empirical studies with market data are presented for yield curve modelling and stochastic ...
Date, P +3 more
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Generation of High-Purity Laguerre–Gaussian Beams by Spatial Filtering
IEEE Photonics Journal, 2019 We theoretically and experimentally demonstrate that high-purity Laguerre–Gaussian beams can be efficiently obtained from Gaussian vortex beams using a typical 4F spatial filtering optical system, in which spatial filtering does not affect the ...
Wangjun Pan +3 more
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A numerical integration-based Kalman filter for moderately nonlinear systems
Tellus: Series A, Dynamic Meteorology and Oceanography, 2020 This paper introduces a computationally efficient data assimilation scheme based on Gaussian quadrature filtering that potentially outperforms current methods in data assimilation for moderately nonlinear systems.
Sarah A. King +2 more
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