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.
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Title: Intuitive Understanding Of Kalman Filtering With MATLAB® By Arm
Weight: 647
EAN: 9780367191351
ISBN-10: 9780367191351
Date of Publication: 2020-09
Place of Publication: 2020-09
Book Series: CRC Press
Genre: COMPUTERS / General
Narrative Type: N/A
Features: N/A
Intended Audience: N/A
Ex Libris: No
Editor: N/A
Edition: N/A
Pagination: 248
Dimensions: 921x614
Number of Pages: 230 Pages
Language: English
Publication Name: Intuitive Understanding of Kalman Filtering with Matlab (R)
Publisher: Taylor & Francis LTD
Publication Year: 2020
Subject: Computer Science
Item Height: 234 mm
Item Weight: 617 g
Type: Textbook
Author: Nonnarit O-Larnnithipong, Malek Adjouadi, Francisco R. Ortega, Armando Barreto
Item Width: 156 mm
Format: Hardcover
