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Multi-Sensor Data Fusion with MATLAB by Jitendra R. Raol

Multi-Sensor Data Fusion with MATLAB Jitendra R. Raol ebook
ISBN: 1439800030, 9781439800034
Publisher:
Format: pdf
Page: 568

Using MATLAB, computational loads of these methods are compared while number of sensors increases. The programs are performed by using the Matlab 2009a version software. Apr 16, 2014 - In the literature on MTT in sensor network, its survey primarily consists of target dynamic models, observation models and techniques, decision-based methods, multiple-model methods, and nonlinear filtering methods. His fields of interests include intelligent information processing, fuzzy information processing, and multisensor data fusion. Online sensor acquisition and filter execution is performed using MATLAB®;. There are several mathematical approaches to combine the observations of multiple sensors by use of Kalman filter. 7 days ago - 'MULTISENSOR DATA FUSION FOR WATER QUALITY MONITORING USING WIRELESS SENSOR NETWORKS' job on Freelancer.com. An important issue in applying a proper approach is computational complexity. Apr 21, 2014 - Compared to existing data gloves, this research showed that inertial and magnetic sensors are of interest for ambulatory analysis of the human hand and finger kinematics in terms of static accuracy, dynamic range and In addition to presenting the instrumented glove, including sensor fusion methods, we evaluate the static accuracy, dynamic range and reproducibility of the system. In this paper, four data fusion algorithms based on Kalman filter are considered including three centralized and one decentralized methods. Feb 20, 2010 - An Autobiography" by Donald K Slayton or other books in the Engineering > Aeronautical Engineering category, you might like to know that "Multi-Sensor Data Fusion with MATLAB: Theory and Practice" is now available. Work on this job or post your own for free! May 22, 2012 - This paper designs an embedded platform based on RCP method which can be applied on MSDF (Multi-sensor Data Fusion) domain against a background of mobile robot's automatic obstacle avoidance.Analyze the advantages of RCP method comparing to traditional way and the main functions and characters of automatic code generation based on MATLAB's RTW components.