Particle filter
id:
particle-filter-173-8360390
title:
Particle filter
text:
Particle filters, or sequential Monte Carlo methods, are a set of Monte Carlo algorithms used to find approximate solutions for filtering problems for nonlinear state-space systems, such as signal processing and Bayesian statistical inference. The filtering problem consists of estimating the internal states in dynamical systems when partial observations are made and random perturbations are present in the sensors as well as in the dynamical system. The objective is to compute the posterior distr
brand slug:
wiki
category slug:
encyclopedia
description:
Type of Monte Carlo algorithms for signal processing and statistical inference
original url:
https://en.wikipedia.org/wiki/Particle_filter
date created:
2005-01-14T21:58:04Z
date modified:
2024-09-02T04:31:34Z
main entity:
{"identifier":"Q1151499","url":"https://www.wikidata.org/entity/Q1151499"}
image:
fields total:
13
integrity:
15