Titlebook: Local Food Plants of Brazil; Michelle Cristine Medeiros Jacob,Ulysses Paulino A Book 2021 The Editor(s) (if applicable) and The Author(s),

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min­ imum error variance recursive algorithm to optimally estimate the unknown state of a dynamic system from noisy data taken at discrete real-time. It has been widely used in many areas of industrial and government applications such as video and laser tracking systems, satellite navigation, balli

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Daniela Moura de Oliveira Beltrame,Camila Neves Soares Oliveira,Lidio Coradinwledge of linear algebra, probability theory, and system engineering. Over 100 exercises and problems with solutions help deepen the knowledge. This new edition has a new chapter on filtering communication networks and data processing, together with new exercises and new real-time applications.

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Fernanda L. B. Mügge,Sarah M. S. Prates,Juliana de Paula-Souza,Maria G. L. Brandãonscented Kalman filter with generalized correntropy loss (GCL-UKF) is also developed, which can achieve even better performance. In addition, since the minimum error entropy (MEE) exhibits good robustness with respect to more complicated noises such as those of multimodal distributions, a unscented

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Fillipe de Oliveira Pereira,Francinalva Dantas de Medeiros,Patrícia Lima Araújoapability of model prediction when facing more complex non-Gaussian noises, such as noises from multimodal distributions. Sometimes, in order to obtain an optimal solution, the MEE needs to manually add a bias to the model to yield zero mean error. To more naturally adjust the error mean, the MEE wi

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