Dec 31, 2008 · This paper proposes a novel linear estimator named stochastic MV-PURE estimator, developed for the stochastic linear model, and designed to ...
A novel linear estimator developed for the stochastic linear model, and designed to provide improved performance over the linear minimum mean square error ...
Abstract—This paper proposes a novel linear estimator named stochastic MV-PURE estimator, developed for the stochastic linear model, and designed to provide ...
Stochastic MV-PURE Estimator— Robust Reduced-Rank Estimator for Stochastic Linear Model · Piotrowski, Tomasz · Cavalcante, Renato L. G. · Yamada, Isao ...
Aug 2, 2024 · The stochastic minimum-variance pseudo-unbiased reduced-rank estimator. (stochastic MV-PURE estimator) has been developed to provide linear ...
Reduced-rank approach has been used for decades in robust linear estimation of both deterministic and random vector of parameters in linear model y = H x + ...
The stochastic minimum-variance pseudo-unbiased reduced-rank estimator (stochastic MV-PURE estimator) has been developed to provide linear estimation with ...
Aug 2, 2024 · The stochastic MV-PURE estimator is a linear estimator for stochastic linear model that is highly robust to mismatches in model knowledge ...
Efficient Parallel Computation of the Stochastic MV-PURE Estimator by ...
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In this paper we consider the problem of efficient computation of the stochastic MV-PURE estimator which is a reduced-rank estimator designed for robust ...
Mar 20, 2013 · The stochastic MV-PURE estimator has been developed to provide linear esti- mation robust to ill-conditioning, high noise levels, and ...