{"id":24,"date":"2013-05-06T16:56:00","date_gmt":"2013-05-06T16:56:00","guid":{"rendered":"https:\/\/wordpress.clarku.edu\/gweisang\/?page_id=24"},"modified":"2013-05-06T18:23:54","modified_gmt":"2013-05-06T18:23:54","slug":"gauss","status":"publish","type":"page","link":"https:\/\/wordpress.clarku.edu\/gweisang\/programming\/gauss\/","title":{"rendered":"Gauss"},"content":{"rendered":"<h3>A Gauss Library for Particle Filters<\/h3>\n<p><em>December 2008<\/em><\/p>\n<p>PF is a Gauss library written with <a href=\"http:\/\/www.thierry-roncalli.com\/\" target=\"_blank\">T. Roncalli<\/a> for computing particle filters using the numerical algorithms described in S. Arulampalam, S. Maskell, N.J. Gordon and T. Clapp [2002], A tutorial on particle filters for online nonlinear\/non-Gaussian Bayesian tracking, IEEE Transaction on Signal Processing, 50:2, 174-188.<\/p>\n<p><strong>This library contains procedures for computing<\/strong><br \/>\n\u2014\u00a0Generic Particle Filter (GPF) algorithm<br \/>\n\u2014\u00a0Regularized Particle Filter (RPF) algorithm<br \/>\n\u2014\u00a0Sampling Importance Resampling (SIR) algorithm<br \/>\n\u2014\u00a0Sampling Importance Sampling (SIS) algorithm<br \/>\n\u2014\u00a0Particle smoother (PS) algorithm<\/p>\n<p><a href=\"https:\/\/wordpress.clarku.edu\/wp-content\/uploads\/sites\/243\/2013\/05\/gauss-pf.pdf\" target=\"_blank\">Download the manual of the Gauss library<\/a> |\u00a0<a href=\"https:\/\/wordpress.clarku.edu\/wp-content\/uploads\/sites\/243\/2013\/05\/gauss-pf.zip\" target=\"_blank\">Download the Gauss library<\/a><\/p>\n<p>&nbsp;<\/p>\n<h3>A Gauss library for Minimax Filters<\/h3>\n<p>\u2014\u00a0Forthcoming<br \/>\n\u2014\u00a0<strong>Hinf<\/strong> is a Gauss library written for the completion of my PhD dissertation. It implements the Minimax filter as described in D. Simon, Optimal State Estimation, Wiley Interscience, Chapters 11-12.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A Gauss Library for Particle Filters December 2008 PF is a Gauss library written with T. Roncalli for computing particle filters using the numerical algorithms described in S. Arulampalam, S. Maskell, N.J. Gordon and T. Clapp [2002], A tutorial on &hellip; <a href=\"https:\/\/wordpress.clarku.edu\/gweisang\/programming\/gauss\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":167,"featured_media":0,"parent":13,"menu_order":10,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ngg_post_thumbnail":0,"footnotes":""},"class_list":["post-24","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/wordpress.clarku.edu\/gweisang\/wp-json\/wp\/v2\/pages\/24","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress.clarku.edu\/gweisang\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wordpress.clarku.edu\/gweisang\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress.clarku.edu\/gweisang\/wp-json\/wp\/v2\/users\/167"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress.clarku.edu\/gweisang\/wp-json\/wp\/v2\/comments?post=24"}],"version-history":[{"count":0,"href":"https:\/\/wordpress.clarku.edu\/gweisang\/wp-json\/wp\/v2\/pages\/24\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/wordpress.clarku.edu\/gweisang\/wp-json\/wp\/v2\/pages\/13"}],"wp:attachment":[{"href":"https:\/\/wordpress.clarku.edu\/gweisang\/wp-json\/wp\/v2\/media?parent=24"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}