"Intuitive understanding of Kalman filtering with MATLAB" / Armando Barreto, Electrical & Computer Engineering Department, Florida International University, Malek Adjouadi, Electrical & Computer Engineering Department, Florida International University, Francisco R. Ortega, Department of Computer Science, Colorado State University, Nonnarit O-larnnithipong, Electrical & Computer Engineering Department, Florida International University.

Author/creator Barreto, Armando, 1963-
Other author Adjouadi, Malek, 1955-
Other author Ortega, Francisco R.
Other author O-larnnithipong, Nonnarit.
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton, FL : CRC Press, 2020.
Descriptionpages cm
Supplemental ContentFull text available from Taylor & Francis eBooks
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

Abstract "The emergence of affordable micro sensors, such as MEMS Inertial Measurement Systems, which are being applied in embedded systems and Internet-of-Things devices, has brought techniques such as Kalman Filtering, capable of combining information from multiple sensors or sources, to the interest of students and hobbyists. This will book will develop just the necessary background concepts, helping a much wider audience of readers develop an understanding and intuition that will enable them to follow the explanation for the Kalman Filtering algorithm"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2020009709
ISBN9780367191351 (hbk)
ISBN9780367191337 (pbk)
ISBN(ebk)

Availability

Library Location Call Number Status Item Actions
Electronic Resources ✔ Available