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An introduction to Kalman filtering with MATLAB examples /

The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the states of a dynamical system in which the state evolution and measurement processes are both linear and Gaussian. Given the ubiquity of such systems, the Kalman filter finds use in a variety of applicati...

Полное описание

Библиографические подробности
Главные авторы: Kovvali, Narayan V. S. K. (Автор), Banavar, Mahesh K. (Автор), Spanias, Andreas (Автор)
Формат: eКнига
Язык:English
Опубликовано: San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, 2014.
Серии:Synthesis digital library of engineering and computer science.
Synthesis lectures on signal processing ; # 12.
Предметы:
Online-ссылка:Abstract with links to full text