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Abstract: In this letter we present a framework for estimating sparse covariance matrices, wherein we solve the $\ell _{0}-$ norm penalized maximum likelihood estimation problem using the extended ...
Abstract: Over the past few decades, numerous adaptive Kalman filters (AKFs) have been proposed. However, achieving online estimation with both high estimation accuracy and fast convergence speed is ...