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Data fusion mathematics : theory and practice / Jitendra R. Raol.

By: Material type: TextTextPublication details: Boca Raton: CRC Press, 2016.Description: xxx, 570 p. : illustrations ; 24 cmISBN:
  • 9781498720977 (hardcover : alk. paper)
Subject(s): DDC classification:
  • 681.20151 23 R215
Contents:
1. Introduction to data fusion process -- 2. Statistics, probability models and reliability : towards probabilistic data fusion -- 3. Fuzzy logic and possibility theory-based fusion -- 4. Filtering, target tracking and kinematic data fusion -- 5. Decentralised data fusion systems -- 6. Component analysis and data fusion -- 7. Image algebra and image fusion / S. Sethu Selvi -- 8. Decision theory and fusion -- 9. Wireless sensor networks and multimodal data fusion -- 10. Soft computing approaches to data fusion -- Appendices.
Summary: Data Fusion Mathematics: Theory and Practice offers a comprehensive overview of data fusion, and provides a proper and adequate understanding of the basic mathematics directly related to DF. The material covered can be used for evaluation of the performances of any designed and developed DF systems. It tries to answer whether unified data fusion mathematics can evolve from various disparate mathematical concepts, and highlights mathematics that can add credibility to the data fusion process.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 681.20151 R215 (Browse shelf(Opens below)) Available 137292
Total holds: 0

Includes bibliographical references and index.

1. Introduction to data fusion process --
2. Statistics, probability models and reliability : towards probabilistic data fusion --
3. Fuzzy logic and possibility theory-based fusion --
4. Filtering, target tracking and kinematic data fusion --
5. Decentralised data fusion systems --
6. Component analysis and data fusion --
7. Image algebra and image fusion / S. Sethu Selvi --
8. Decision theory and fusion --
9. Wireless sensor networks and multimodal data fusion --
10. Soft computing approaches to data fusion --
Appendices.

Data Fusion Mathematics: Theory and Practice offers a comprehensive overview of data fusion, and provides a proper and adequate understanding of the basic mathematics directly related to DF. The material covered can be used for evaluation of the performances of any designed and developed DF systems. It tries to answer whether unified data fusion mathematics can evolve from various disparate mathematical concepts, and highlights mathematics that can add credibility to the data fusion process.

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