Intuitive Understanding of Kalman Filtering with MATLAB(R)

by Nonnarit O-Larnnithipong, Francisco Ortega, Armando Barreto, et al.

The emergence of affordable micro sensors, such as MEMS Inertial Measurement Systems, are applied in embedded systems and Internet-of-Things devices. This has brought techniques such as Kalman Filtering, which are capable of combining information from multiple sensors or sources, to the interest of students and hobbyists. This book will explore the necessary background concepts, helping a much wider audience of readers develop an understanding...

• Format: Paperback
• Language: English
• ISBN: 0367191334
• ISBN13: 9780367191337
• Release Date: September 2020
• Publisher: CRC Press
• Length: 230 Pages
• Weight: 0.78 lbs.
• Dimensions: 0.5" x 6.1" x 9.3"