Intuitive Understanding of Kalman Filtering with MATLAB(R)

By Armando Barreto, Malek Adjouadi, Francisco Ortega, et al.

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.

• Format: Hardcover
• Language: English
• ISBN: 0367191350
• ISBN13: 9780367191351
• Release Date: September 2020
• Publisher: CRC Press
• Length: 230 Pages
• Weight: 1.16 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"