COMPARING FREQUENCY DOMAIN, OPTIMAL, AND ASYMPTOTIC FILTERING: A TUTORIAL

Václav Černý, J. Hrušék · Control and Intelligent Systems · 2006

This paper studies some connections between the main results ofthe Kalman-Bucy stochastic approach to filtering problems basedmainly on linear stochastic estimation theory and emphasizing theoptimality aspects of the achieved results and the classical deter-ministic frequency domain linear filters (such as Chebyshev, But-terworth, Bessel, etc.

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