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AN EFFICIENT GENERALIZED FAMILY OF ESTIMATORS FOR MEAN ESTIMATION UNDER SIMPLE RANDOM SAMPLINGUNA FAMILIA EFICIENTE GENERALIZADA DE ESTIMADORES PARA LA ESTIMACIÓN DE LA MEDIA BAJO MUESTREO ALEATORIO SIMPLE
(Departamento de Matemática Aplicada. Facultad de Matemática y Computación. Universidad de La Habana, 2023)
Energy-efficient estimation of a MIMO channel
(2012)
Abstract
Exploiting the benefits of multiple antenna technologies is strongly conditioned on knowledge of the wireless channel that affects the transmissions. To this end, various channel estimation algorithms ...
Impacto da urbanização nas temperaturas do ar e de superfície da região metropolitana de Fortaleza
(BrasilUFRNPROGRAMA DE PÓS-GRADUAÇÃO EM CIÊNCIAS CLIMÁTICAS, 2019-02-25)
The Metropolitan Region of Fortaleza, in the state of Ceará, has an approximate population of
4.051 million inhabitants, more than half of this population is concentrated in Fortaleza. The
increase in urban population ...
Improving the tracking capability of adaptive filters via convex combination
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2008)
As is well known, Hessian-based adaptive filters (such as the recursive-least squares algorithm (RLS) for supervised adaptive filtering, or the Shalvi-Weinstein algorithm (SWA) for blind equalization) converge much faster ...
Optimising models for prediction of tropospheric scintillation on satellite links
(Universidad de la Costa, 2020)
Multi-sensor state estimation over lossy channels using coded measurements
(Pergamon-Elsevier Science Ltd, 2020-01)
This paper focuses on a networked state estimation problem for a spatially large linear system with a distributed array of sensors, each of which offers partial state measurements, and the transmission is lossy. We propose ...
Ensemble Of Metamodels: The Augmented Least Squares Approach
(SpringerNew York, 2016)