# Asymptotic Optimality of the Minimum-Variance Fixed-Interval Smoother

@article{Einicke2007AsymptoticOO,
title={Asymptotic Optimality of the Minimum-Variance Fixed-Interval Smoother},
author={G. Einicke},
journal={IEEE Transactions on Signal Processing},
year={2007},
volume={55},
pages={1543-1547}
}
• G. Einicke
• Published 2007
• Mathematics, Computer Science
• IEEE Transactions on Signal Processing
• This correspondence investigates the asymptotic performance of the discrete-time and continuous-time, time-varying, minimum-variance, fixed-interval smoothers. Comparison theorems are generalized to provide sufficient conditions for the monotonic convergence of the underlying Riccati equations. Under these conditions, the energy of the estimation errors asymptotically approach a lower bound and attain lscr2 /L2 stability

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