论文信息 - Optimal Recursive Estimation of Raw Data

Optimal Recursive Estimation of Raw Data

Abstract We present a new approach to the optimal estimation of random vectors. The approach is based on a combination of a specific iterative procedure and the solution of a best approximation problem with a polynomial approximant. We show that the combination of these new techniques allow us to build a computationally effective and flexible estimator. The strict justification of the proposed technique is provided.

Anatoli Torokhti | Phil Howlett | C. E. M. Pearce

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