Binding: Paperback
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
Title: Intuitive Understanding Of Kalman Filtering With Matlab
Author(s): O - Larnnithipong Nonnarit
Publisher: Taylor & Francis Ltd
Barcode: 9780367191337
Pages: 230 Pages, 31 Line Drawings, Black And White; 21 Halftones, Black And White
Publication Date: 9/7/2020
Category: Internet Guides & Online Services