
HumanEva
 Referenced in 22 articles
[sw15489]
 Sequential Importance Resampling and Annealed Particle Filtering. In the context of this baseline algorithm...

LibBi
 Referenced in 11 articles
[sw19384]
 Carlo (SMC) methods such as the particle filter for state estimation, and the particle Markov...

Blaise
 Referenced in 8 articles
[sw29867]
 Carlo (MCMC) and sequential Monte Carlo (particle filtering). Several other features are soon...

vSMC
 Referenced in 4 articles
[sw19386]
 Some of these algorithms, such as particle filters, are widely used in the physics ... examples are presented: a simple particle filter and a classic Bayesian modeling problem...

SMCTC
 Referenced in 5 articles
[sw19395]
 example applications are provided: a simple particle filter for illustrative purposes and a state...

Biips
 Referenced in 3 articles
[sw19385]
 runs sequential Monte Carlo based algorithms (particle filters, particle independent MetropolisHastings, particle marginal Metropolis...

chopthin
 Referenced in 3 articles
[sw26338]
 Resampling is a standard step in particle filtering and in sequential Monte Carlo. This package...

SPHysics
 Referenced in 17 articles
[sw16794]
 governing equations based on Smoothed Particle Hydrodynamics (SPH) theory. The paper describes the formulations implemented ... filtering, arbitrary Lagrange–Euler (ALE) schemes and the incorporation of Riemann solvers for particle–particle...

BFL
 Referenced in 1 article
[sw15150]
 Bayes’ rule, such as (Extended) Kalman Filters, Particle Filters (or Sequential Monte Carlo methods ... Bayes’ rule, such as (Extended) Kalman Filters, Particle Filters (or Sequential Monte Carlo methods...

SMC
 Referenced in 1 article
[sw24867]
 Sequential Monte Carlo (SMC) Algorithm. particle filtering, auxiliary particle filtering and sequential Monte Carlo algorithms...

PFLib
 Referenced in 1 article
[sw25577]
 object oriented MATLAB toolbox for particle filtering. Under a United States Army Small Business Technology ... exploration, learning and use of Particle Filters by a general user. This paper describes...

pyParticleEst
 Referenced in 1 article
[sw23267]
 Methods. Particle methods such as the particle filter and particle smoothers have proven very useful...

FLightR
 Referenced in 1 article
[sw27351]
 with a hidden Markov model via particle filter algorithm. The package is relatively robust...

matLeap
 Referenced in 1 article
[sw16549]
 especially useful for researchers utilizing particle filter based methods for Bayesian inference. Code is available...

VIDE
 Referenced in 1 article
[sw26660]
 loading and manipulating void catalogs and particle members, filtering, plotting, computing clustering statistics, stacking, comparing...

MVTH
 Referenced in 0 articles
[sw05662]
 processing routines, and code for using particle filters (a statistical sampling approach) are included...

ORB5
 Referenced in 10 articles
[sw10369]
 response on magnetic surfaces. It uses a ParticleInCell (PIC), δf scheme, 3D cubic ... magnetic coordinates and a fieldaligned Fourier filtering technique that dramatically improves the performance ... processors and 109 marker particles. Various numerical convergence tests are performed. The code is validated...

UPICEMMA
 Referenced in 3 articles
[sw09699]
 filters in Fourier space. We describe the development of a fully parallelized, multidimensional, particle...