Particle Filter Toolbox Particle Tool box
2016-08-23
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The object of this toolbox is to provide a MATLAB framework for nonlinear filtering
in general, and particle filtering in particular. This is done by using the objectoriented
programming paradigm, resulting in truly expandable code. Three types
of discrete and nonlinear state-space models are supported by default, as well as
three filter algorithms: the Extended Kalman Filter and the SIS and SIR particle
filters. Symbolic expressions are differentiated automatically, which allows for
comfortable EKF filtering. A graphical user interface is also provided to make the
process of filtering even more convenient. By implementing a spe
in general, and particle filtering in particular. This is done by using the objectoriented
programming paradigm, resulting in truly expandable code. Three types
of discrete and nonlinear state-space models are supported by default, as well as
three filter algorithms: the Extended Kalman Filter and the SIS and SIR particle
filters. Symbolic expressions are differentiated automatically, which allows for
comfortable EKF filtering. A graphical user interface is also provided to make the
process of filtering even more convenient. By implementing a spe
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