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Predicting the target motion is a common procedure in video target tracking, and Kalman filter has been largely used for this purpose. However, the Kalman filter used as a predictor bears a weakness of compromised prediction accuracy. To tackle this problem, a lowpass filter is engineered in this paper, which is derived from the first-order expansion of Taylor series with incorporation of the inertia...
This paper addresses the problem of predicting future outputs of an unknown Linear Time Invariant System based solely on past input/output data corrupted by noise, and an a-priori bound on the system order. This situation arises in many scenarios of practical interest where an explicit a-priori model of the system is not available. The main result of the paper is a simple, computationally efficient...
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