Description: 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
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EAN: 9780367191337
UPC: 9780367191337
ISBN: 9780367191337
MPN: N/A
Book Title: Intuitive Understanding of Kalman Filtering with M
Item Length: 23.5 cm
Number of Pages: 230 Pages
Publication Name: Intuitive Understanding of Kalman Filtering with Matlab (R)
Language: English
Publisher: Taylor & Francis LTD
Item Height: 234 mm
Subject: Computer Science
Publication Year: 2020
Type: Textbook
Item Weight: 458 g
Author: Malek Adjouadi, Francisco R. Ortega, Armando Barreto, Nonnarit O-Larnnithipong
Item Width: 156 mm
Format: Paperback