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

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

Here is the right place to find the great deals. Using MATLAB, computational loads of these methods are compared while number of sensors increases. Juxtaposition is the first step in fusion and requires that a number of issues be taken into account so that fusion is between consistent entities, i.e., “apples to apples”. In this paper, four data fusion algorithms based on Kalman filter are considered including three centralized and one decentralized methods. Apr 20, 2013 - Average Reviews: (More customer reviews)Are you looking to buy Multi-Sensor Data Fusion with MATLAB®? MATLAB Code to Plot Juxtaposed Incremental Rotations . There are several mathematical approaches to combine the observations of multiple sensors by use of Kalman filter. 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. MATLAB Code to Plot Juxtaposed Translations. The study was undertaken to explore implementation issues in fusing and integrating multi- sensor data from a UGV. An important issue in applying a proper approach is computational complexity. Based on the character of the measured data, the data can be de-noised with wavelet by the tool of Matlab. So that, more fine KEYWORDS: Sutong Bridge, pile group foundation, scour, water pressure sensor, multi-beam radar, multi-scale monitoring, wavelet, information fusion technology .