Introduction to random signals and applied Kalman filtering : with MATLAB exercises /

"The Fourth Edition to the Introduction of Random Signals and Applied Kalman Filtering is updated to cover innovations in the Kalman filter algorithm and the proliferation of Kalman filtering applications from the past decade. The text updates both the research advances in variations on the Kal...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Brown, Robert Grover
Otros Autores: Hwang, Patrick Y. C.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, NJ : J. Wiley & Sons, ©2012.
Edición:4th ed.
Temas:
MATLAB.
Signal processing > Data processing.
Random noise theory.
Kalman filtering > Data processing.
Traitement du signal > Informatique.
Théorie du bruit aléatoire.
Filtre de Kalman > Informatique.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"The Fourth Edition to the Introduction of Random Signals and Applied Kalman Filtering is updated to cover innovations in the Kalman filter algorithm and the proliferation of Kalman filtering applications from the past decade. The text updates both the research advances in variations on the Kalman filter algorithm and adds a wide range of new application examples. Several chapters include a significant amount of new material on applications such as simultaneous localization and mapping for autonomous vehicles, inertial navigation systems and global satellite navigation systems"--Provided by publisher.
Descripción Física:1 online resource (1 volume) : illustrations
Bibliografía:Includes bibliographical references and index.

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