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Multisensor Decision And Estimation Fusion

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  • 264 pages
  • 10 hours of reading

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Focusing on multi-sensor information fusion techniques, this book addresses the challenges of decision and estimation problems involving statistically dependent observations. While traditional methods have emphasized independent data, real-world applications often present correlated observations, particularly in noisy environments. The author offers a comprehensive exploration of the fundamentals of multi-sensor fusion, enhancing the understanding of how to effectively process and analyze data from distributed sensors to improve system capabilities and reliability.

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Multisensor Decision And Estimation Fusion, Yunmin Zhu

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Released
2012
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