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Optimal mean-variance control for discrete-time linear systems with Markovian jumps and multiplicative noises
(PERGAMON-ELSEVIER SCIENCE LTDOXFORD, 2012-02)
In this paper, we consider the stochastic optimal control problem of discrete-time linear systems subject to Markov jumps and multiplicative noises under two criteria. The first one is an unconstrained mean-variance trade-off ...
Detailed modeling of the video signal and optimal readout of charge-coupled devices
(John Wiley & Sons Ltd, 2020-07-07)
This article provides a practical design methodology to calculate an optimal filter for noise reduction in the readout of charge‐coupled devices (CCDs) taking into account the charge transfer and feedthroughs due to ...
Linearly constrained minimum variance spatial filtering for localization of conductivity changes in electrical impedance tomography
(John Wiley & Sons, Ltd., 2015-02)
We localize dynamic electrical conductivity changes and reconstruct their time evolution introducing the spatial filtering technique to electrical impedance tomography (EIT). More precisely, we use the unit-noise-gain ...
Avaliação de desempenho baseada em variância mínima de controladores para malha de pH
(Universidade Federal de Minas GeraisUFMG, 2011-03-04)
This work aims to assess the performace of a nonlinear control system. The operacional anddynamicdetails of a pH control plant aredescribed. The system gain changes nonlinearly on operational conditions, besides that its ...
An efficient adaptive method for estimating the distance between mobile sensors
(Springer, 2015-11)
The received signal strength (RSS) is a common source of information used for estimating the distance between two wireless nodes, whether these nodes are stationary or mobile. Minimum mean squared error distance estimation ...
Performance Analysis of the Least-Squares Estimator in Astrometry
(2015)
We characterize the performance of the widely used least-squares estimator in astrometry in terms of a comparison with the Cramer-Rao lower variance bound. In this inference context the performance of the least-squares ...
Worst-case optimization robust-MVDR beamformer for stereo noise reduction in hearing aids
(2020)
A audição é um sentido extremadamente importante para os seres humanos e a vida em sociedade. Perdas auditivas dificultam significativamente a compreensão da fala, especialmente em ambientes ruidosos, diminuindo a qualidade ...
Identification of Non Stationary ARMA Models Based on Matrix Forgetting
(Revista Computación y Sistemas; Vol. 3 No. 1, 1999-09-10)
Abstract. To identify time-varying matrix parameter participating
in ARMAX-model description, a new recursive procedure is suggested in this thesis. This algorithm presents a combination of recursive version of Instrumental ...
Performance Analysis of the Least-Squares Estimator in Astrometry
(The Astronomical Society of the Pacific, 2015-11)
We characterize the performance of the widely used least-squares estimator in astrometry in terms
of a comparison with the Cramér–Rao lower variance bound. In this inference context the performance of the leastsquares
estimator ...