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{ "item_title" : "Multi-Sensor Data Fusion with MATLAB(R)", "item_author" : [" Jitendra R. Raol "], "item_description" : "Using MATLAB(R) examples wherever possible, this detailed book explores the three levels of MSDF: kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strategies, algorithms, and performance evaluation mainly for aerospace applications, although the methods can also be applied to systems in other areas, such as biomedicine, military defense, and environmental engineering. The book uses the Kalman filter, fuzzy logic, Bayesian networks, clustering, and more to address tracking and other problems. Select MATLAB programs are available online.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/43/980/003/1439800030_b.jpg", "price_data" : { "retail_price" : "265.00", "online_price" : "265.00", "our_price" : "265.00", "club_price" : "265.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Multi-Sensor Data Fusion with MATLAB(R)|Jitendra R. Raol

Multi-Sensor Data Fusion with MATLAB(R)

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Overview

Using MATLAB(R) examples wherever possible, this detailed book explores the three levels of MSDF: kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strategies, algorithms, and performance evaluation mainly for aerospace applications, although the methods can also be applied to systems in other areas, such as biomedicine, military defense, and environmental engineering. The book uses the Kalman filter, fuzzy logic, Bayesian networks, clustering, and more to address tracking and other problems. Select MATLAB programs are available online.

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Details

  • ISBN-13: 9781439800034
  • ISBN-10: 1439800030
  • Publisher: CRC Press
  • Publish Date: December 2009
  • Dimensions: 9.1 x 6.1 x 1.2 inches
  • Shipping Weight: 1.95 pounds
  • Page Count: 568

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