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 ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
Abstract: For co-channel interferences (CCI) rejection, a maximum likelihood (ML)-based framework for joint channel and interference-plus-noise covariance matrix (ICM) estimation is developed, where ...
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