منابع مشابه
Speed adaptation as Kalman filtering
If the purpose of adaptation is to fit sensory systems to different environments, it may implement an optimization of the system. What the optimum is depends on the statistics of these environments. Therefore, the system should update its parameters as the environment changes. A Kalman-filtering strategy performs such an update optimally by combining current estimations of the environment with ...
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Sensory adaptation allows biological systems to adjust to variations in the environment. A recent theoretical work postulated that the goal of adaptation is to minimize errors in the performance of particular tasks. The proposed minimization was Bayesian and required prior knowledge of the environment and of the limitations of the mechanisms processing the information. One problem with that for...
متن کاملKalman Filtering
Consider the following state space model (signal and observation model). Y t = H t X t + W t , W t ∼ N (0, R) (1) X t = F t X t−1 + U t , U t ∼ N (0, Q) (2)
متن کاملKalman Filtering for Uncertain
To my family, anna and ammu ACKNOWLEDGEMENT I would like to express my sincere indebtness and gratitude to my thesis advisor Dr. Dan Simon, for the ingenious commitment, encouragement and highly valuable advice he provided me over the entire course of this thesis. I would also like to thank my committee members Dr. Zhiqiang Gao and Dr. Sridhar Ungarala for their support and advice. I wish thank...
متن کاملKalman Filtering in R
Support in R for state space estimation via Kalman filtering was limited to one package, until fairly recently. In the last five years, the situation has changed with no less than four additional packages offering general implementations of the Kalman filter, including in some cases smoothing, simulation smoothing and other functionality. This paper reviews some of the offerings in R to help th...
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ژورنال
عنوان ژورنال: Vision Research
سال: 2008
ISSN: 0042-6989
DOI: 10.1016/j.visres.2008.08.011