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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
Page: 568
Format: pdf
Publisher:

Electromyography values 2010), registration of muscle activity, inertial sensors (Cuesta-Vargas et al. Jul 22, 2011 - In order to obtain comprehensive information about scour and siltation, multi-scale data fusion technology based on wavelet is adopted to reconstruct and decompose the data. So that, more fine KEYWORDS: Sutong Bridge, pile group foundation, scour, water pressure sensor, multi-beam radar, multi-scale monitoring, wavelet, information fusion technology . Based on the character of the measured data, the data can be de-noised with wavelet by the tool of Matlab. There are several mathematical approaches to combine the observations of multiple sensors by use of Kalman filter. 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. Six subjects performed The obtained data was resampled “R software” and processed “Matlab Script” based on an automatic numerical sequence recognition program. Using MATLAB, computational loads of these methods are compared while number of sensors increases. Nov 4, 2013 - Analysis of this exertion with surface electromyography devices (to register muscular activity) and accelerometer devices (to register movement values ) can provide multiple variables. An important issue in applying a proper approach is computational complexity. In this paper, four data fusion algorithms based on Kalman filter are considered including three centralized and one decentralized methods.