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019 _a916953823
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020 _z9781498720977
020 _z1498720978
035 _a(OCoLC)913955541
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_z(OCoLC)918862348
037 _aCL0500000628
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050 4 _aTK7872.D48
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082 0 4 _a681.201/51
_223
100 1 _aRaol, J. R.
_q(Jitendra R.),
_d1947-
_eauthor.
245 1 0 _aData fusion mathematics :
_btheory and practice /
_cJitendra R. Raol.
264 1 _aBoca Raton :
_bCRC Press, Taylor & Francis Group,
_c[2016]
264 4 _c©2016
300 _a(xxx, 570 pages) :
_billustrations
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
588 0 _aOnline resource; title from PDF title page (EBSCO, viewed July 22, 2015).
504 _aIncludes bibliographical references and index.
505 0 _aIntroduction to data fusion process -- Statistics, probability models and reliability : towards probabilistic data fusion -- Fuzzy logic and possibility theory-based fusion -- Filtering, target tracking and kinematic data fusion -- Decentralised data fusion systems -- Component analysis and data fusion -- Image algebra and image fusion / S. Sethu Selvi -- Decision theory and fusion -- Wireless sensor networks and multimodal data fusion -- Soft computing approaches to data fusion -- Appendix A. Some Algorithms and/or Their Derivations -- Appendix B. Other Methods of DF and Fusion Performance Evaluation Metrics -- Appendix C. Automatic Data Fusion -- Appendix D. Notes and Information on Data Fusion Software Tools -- Appendix E. Definitions of Sensor DF in Literature -- Appendix F. Some Current Research Topics in DF.
520 _aFills the Existing Gap of Mathematics for Data FusionData fusion (DF) combines large amounts of information from a variety of sources and fuses this data algorithmically, logically and, if required intelligently, using artificial intelligence (AI). Also, known as sensor data fusion (SDF), the DF fusion system is an important component for use in various applications that include the monitoring of vehicles, aerospace systems, large-scale structures, and large industrial automation plants. 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.
650 0 _aMultisensor data fusion
_xMathematics.
650 7 _aTECHNOLOGY & ENGINEERING / Technical & Manufacturing Industries & Trades
_2bisacsh
650 7 _aMultisensor data fusion
_xMathematics.
_2fast
_0(OCoLC)fst01029097
655 4 _aElectronic books.
655 0 _aElectronic books.
776 0 8 _iPrint version:
_aRaol, J. R. (Jitendra R.), 1947-
_tData fusion mathematics.
_dBoca Raton, FL : CRC Press, Taylor & Francis Group, [2016]
_z9781498720977
_w(DLC) 2015026061
_w(OCoLC)906010398
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