• HumanEva

  • Referenced in 20 articles [sw15489]
  • Sequential Importance Resampling and Annealed Particle Filtering. In the context of this baseline algorithm...
  • LibBi

  • Referenced in 10 articles [sw19384]
  • Carlo (SMC) methods such as the particle filter for state estimation, and the particle Markov...
  • 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 Metropolis-Hastings, particle marginal Metropolis...
  • chopthin

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

  • Referenced in 12 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 particleparticle...
  • 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 Particle-In-Cell (PIC), δf scheme, 3D cubic ... magnetic coordinates and a field-aligned Fourier filtering technique that dramatically improves the performance ... processors and 109 marker particles. Various numerical convergence tests are performed. The code is validated...
  • UPIC-EMMA

  • Referenced in 3 articles [sw09699]
  • filters in Fourier space. We describe the development of a fully parallelized, multi-dimensional, particle...
  • FracMAP

  • Referenced in 1 article [sw00308]
  • growth through the agglomeration of smaller particles (monomers). In this paper, we describe a package ... encountered for quasi-fractal agglomerates collected on filter media for electron microscopy. Resulting 2d images...