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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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Kovvali, Narayan V. S. K. (Tekijä), Banavar, Mahesh K. (Tekijä), Spanias, Andreas (Tekijä)
Aineistotyyppi: E-kirja
Kieli:English
Julkaistu: San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, 2014.
Sarja:Synthesis digital library of engineering and computer science.
Synthesis lectures on signal processing ; # 12.
Aiheet:
Linkit:Abstract with links to full text