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• W93344897 abstract "We investigate the noise power gain (NPG) as a measure of error for transversal estimators. The error upper bound (EUB) and lower one (ELB) are specified via NPG for the most general p-shift linear time-variant transversal estimator intended for filtering (p = 0), prediction (p > 0), and smoothing (p < 0) of discrete-time K-state space signal models with M states measured. A fast iterative algorithm for NPG of the unbiased FIR estimator is provided along. Examples of applications are considered employing the two-state polynomial space model." @default.
• W93344897 created "2016-06-24" @default.
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• W93344897 date "2011-02-20" @default.
• W93344897 modified "2023-09-27" @default.
• W93344897 title "Studies of the noise power gain as a measure of errors for discrete-time transversal estimators" @default.
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