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MEMBERS OF RESEARCH CENTER
Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Lectures and Presetations
Sample Size Specification Techniques for Particle Filter
Lecturer:
From:
Mar. 25 2008 2:00PM
To:
Mar. 25 2008 3:00PM
Place:
místnost č. 474, ÚTIA, AVČR
Description:
Particle filter represents a nonlinear state estimation
method based on Monte Carlo simulation. The filter
approximates the posterior probability density function by a
swarm of particles in the state space.
Sample size, i.e. the number of the particles, is one of
the key design parameters affecting estimation quality and
computational cost of the filter. The seminar will focus on
various techniques for sample size specification.
method based on Monte Carlo simulation. The filter
approximates the posterior probability density function by a
swarm of particles in the state space.
Sample size, i.e. the number of the particles, is one of
the key design parameters affecting estimation quality and
computational cost of the filter. The seminar will focus on
various techniques for sample size specification.
Contact person:
Within the event:
Pravidelný seminář Rozhodování a řízení za neurčitosti. (Contact person: Miroslav Kárný)