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Non Gaussian State Estimation and the Maximum Correntropy Approach
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Short Blurb
This monograph aims to present the recent advances in state estimation, in terms of relaxing the conventional assumption that probability densities remain Gaussian. An alternative to the conventional minimum mean square error in the form of maximum correntropy criterion is examined and the corresponding algorithmic framework is derived.
Seasonal Blurb
This monograph aims to present the recent advances in state estimation, in terms of relaxing the conventional assumption that pro...