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Kalman Filtresi
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Bu kitap, Kalman filtresi konusunu ele almaktadır. Kalman filtresi, bir sistemin durumunu tahmin etmek için kullanılan bir istatistiksel filtreleme yöntemidir. Kitap, kesikli-zaman durum-uzay modelleri üzerinde durarak, lineer ve doğrusal olmayan sistemlerin incelenmesini sağlamaktadır. Ayrıca, Kalman filtresi için asimptotik dağılım teorisi de ele alınmaktadır. Bu teori, Kalman filtresinin kararlılığını ve yakınsama hızını değerlendirmektedir. Kitap ayrıca, model geçerliliği için hipotez testi ve simulasyonlarla ilgili yöntemleri de içermektedir. Bu kitap, Kalman filtresi konusunda derinlemesine bir anlayış sağlamak isteyen okuyucular için uygundur.
This book covers the topic of Kalman filters. Kalman filter is a statistical filtering method used to predict the state of a system. The book focuses on discrete-time state-space models and examines both linear and nonlinear systems. Additionally, the book discusses the asymptotic distribution theory for Kalman filters, which evaluates the stability and convergence rate of the filter. The book also includes methods for hypothesis testing and simulations to assess model validity. This book is suitable for readers who want to gain a deep understanding of Kalman filters.
Title: Kalman Filtresi
Description:
Bu kitap, Kalman filtresi konusunu ele almaktadır.
Kalman filtresi, bir sistemin durumunu tahmin etmek için kullanılan bir istatistiksel filtreleme yöntemidir.
Kitap, kesikli-zaman durum-uzay modelleri üzerinde durarak, lineer ve doğrusal olmayan sistemlerin incelenmesini sağlamaktadır.
Ayrıca, Kalman filtresi için asimptotik dağılım teorisi de ele alınmaktadır.
Bu teori, Kalman filtresinin kararlılığını ve yakınsama hızını değerlendirmektedir.
Kitap ayrıca, model geçerliliği için hipotez testi ve simulasyonlarla ilgili yöntemleri de içermektedir.
Bu kitap, Kalman filtresi konusunda derinlemesine bir anlayış sağlamak isteyen okuyucular için uygundur.
This book covers the topic of Kalman filters.
Kalman filter is a statistical filtering method used to predict the state of a system.
The book focuses on discrete-time state-space models and examines both linear and nonlinear systems.
Additionally, the book discusses the asymptotic distribution theory for Kalman filters, which evaluates the stability and convergence rate of the filter.
The book also includes methods for hypothesis testing and simulations to assess model validity.
This book is suitable for readers who want to gain a deep understanding of Kalman filters.
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