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Multi-Sensor Data Fusion with MATLAB Jitendra R. Raol
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Here is the right place to find the great deals. 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. This book includes over 1190 equations and over 230 illustrations and plots. His fields of interests include intelligent information processing, fuzzy information processing, and multisensor data fusion. Apr 20, 2013 - Average Reviews: (More customer reviews)Are you looking to buy Multi-Sensor Data Fusion with MATLAB®? The new completely revised and updated edition includes nearly 70 pages of new material including a full new chapter as well as approximately 30 new sections, 50 new examples and 100 new references as well as additional Matlab code where appropriate. There are It is an extensively revised second edition of the author's successful book: "Multi-Sensor Data Fusion: An Introduction" which was originally published by Springer-Verlag in 2007. ISBN: 3642272215, 9783642272226 Data Fusion: Concepts and Ideas provides a comprehensive introduction to the concepts and idea of multisensor data fusion. The programs are performed by using the Matlab 2009a version software. Jun 24, 2010 - hey guys , me rondevu sabzi currently m stuck up in a situation i've been given a project wherein i've to implement multi sensor data fusion using 'extended kalman filters' IN 'matlab or c'. Feb 1, 2002 - Additionally, dedicated MATLAB functions/programs have been developed for each chapter to further enhance the understanding of the theory, and provide a source for establishing radar system design requirements.