Bayesian_Lib
所属分类:数学计算
开发工具:matlab
文件大小:380KB
下载次数:18
上传日期:2008-05-27 06:48:20
上 传 者:
navcom
说明: 有关Bayes滤波的matlab程序,主要用于非线性非高斯系统的滤波处理
(On the Bayes filter matlab program, mainly for non-linear non-Gaussian filter treatment system)
文件列表:
orocos-bfl-0.6.1-src (0, 2007-08-07)
orocos-bfl-0.6.1-src\aids (0, 2007-08-07)
orocos-bfl-0.6.1-src\aids\include.h.newmat (6015, 2004-03-26)
orocos-bfl-0.6.1-src\aids\include.h.newmat11 (6972, 2003-03-10)
orocos-bfl-0.6.1-src\aids\Makefile.Newmat (6785, 2004-03-26)
orocos-bfl-0.6.1-src\AUTHORS (75, 2007-04-19)
orocos-bfl-0.6.1-src\ChangeLog (18664, 2007-05-25)
orocos-bfl-0.6.1-src\CMakeLists.txt (3449, 2007-06-12)
orocos-bfl-0.6.1-src\config (0, 2007-08-07)
orocos-bfl-0.6.1-src\configure (2277, 2007-05-07)
orocos-bfl-0.6.1-src\config\bfl_macros.cmake (573, 2007-04-28)
orocos-bfl-0.6.1-src\config\check_depend.cmake (382, 2007-04-27)
orocos-bfl-0.6.1-src\config\cmake_logging.cmake (3439, 2007-04-27)
orocos-bfl-0.6.1-src\config\cmake_uninstall.cmake.in (967, 2007-04-27)
orocos-bfl-0.6.1-src\config\DependentOption.cmake (1720, 2007-04-27)
orocos-bfl-0.6.1-src\config\FindCppUnit.cmake (1078, 2007-06-12)
orocos-bfl-0.6.1-src\config\FindGINAC.cmake (1001, 2007-06-12)
orocos-bfl-0.6.1-src\config\FindMATRIX.cmake (3476, 2007-06-12)
orocos-bfl-0.6.1-src\config\FindPkgConfig.cmake (4121, 2007-04-27)
orocos-bfl-0.6.1-src\config\FindRNG.cmake (3244, 2007-06-12)
orocos-bfl-0.6.1-src\COPYING (26430, 2005-05-06)
orocos-bfl-0.6.1-src\debian (0, 2007-08-07)
orocos-bfl-0.6.1-src\debian\bfl.dirs (0, 2007-05-08)
orocos-bfl-0.6.1-src\debian\bfl.doc-base.EX (538, 2007-05-08)
orocos-bfl-0.6.1-src\debian\bfl.install (0, 2007-05-08)
orocos-bfl-0.6.1-src\debian\changelog (160, 2007-06-12)
orocos-bfl-0.6.1-src\debian\compat (2, 2007-05-07)
orocos-bfl-0.6.1-src\debian\control (2914, 2007-06-05)
orocos-bfl-0.6.1-src\debian\copyright (635, 2007-06-05)
orocos-bfl-0.6.1-src\debian\cron.d.ex (89, 2007-05-08)
orocos-bfl-0.6.1-src\debian\dirs (17, 2007-05-07)
orocos-bfl-0.6.1-src\debian\docs (27, 2007-05-07)
orocos-bfl-0.6.1-src\debian\emacsen-install.ex (1236, 2007-05-08)
orocos-bfl-0.6.1-src\debian\emacsen-remove.ex (474, 2007-05-08)
orocos-bfl-0.6.1-src\debian\emacsen-startup.ex (1171, 2007-05-08)
orocos-bfl-0.6.1-src\debian\init.d.ex (2142, 2007-05-08)
orocos-bfl-0.6.1-src\debian\manpage.1.ex (1775, 2007-05-08)
orocos-bfl-0.6.1-src\debian\manpage.sgml.ex (4660, 2007-05-08)
orocos-bfl-0.6.1-src\debian\manpage.xml.ex (4617, 2007-05-08)
orocos-bfl-0.6.1-src\debian\menu.ex (127, 2007-05-08)
... ...
$Id: README 28203 2007-05-29 07:58:40Z tdelaet $
//
// BFL: BAYESIAN FILTERING LIBRARY
//
//
// Copyright (C) 2002/2003/2004 Klaas Gadeyne
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
This library encoporates ideas from several available software
libraries:
- Scene (Andrew Davison). See
- Bayes++ (from ACFR). See
- The CES programming library (Sebastian Thrun). See
- Our own research with Bayesian methods for compliant motion problems
It's most important features are:
- Released under the GNU LGPL licence
- Wrapper around matrix and RNG libraries, so you can use your own
favourite matrix library.
At 2004/03/02 wrappers exist for
=================================================
* The matrix/RNG wrapper library of LTIlib
: a library
with algorithms and data structures frequently used in image
processing and computer vision.
* NEWMAT Matrix Library
=================================================
* boost RNG
- "Bayesian unifying Design". This allows to incorporate any Bayesian
filtering algorithm!
Currently the following filter schemes are implemented.
* Standard KF, EKF, IEKF and Non-minimal State KF (See
* Standard Particle filter (arbitrary proposal), BootstrapFilter
(Proposal = System Model PDF), Auxiliary Particle filter, Extended
Kalman Particle Filter.
For further details about the design ideas, see the poster about the
library presented at Valencia 7, a conference about Bayesian
Statistics, available from
Also have a look at the filtering libraries home page
Tinne De Laet Contributed a tutorial which can be found on the
website.
It discusses how to construct your first filter in bfl.
Wim Meeussen and Tinne De Laet contributed a installation guide which can be
found on the website.
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