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도서명
Mathematical Techniques in Multisensor Data Fusion
저자/역자
David Hall
출판사
Artech House
분야
신호처리
목차/설명
This invaluable reference offers the most comprehensive introduction available to the concepts of multisensor data fusion. The book introduces key algorithms, provides advice on their utilization, and raises issues associated with their implementation. With a diverse set of mathematical and heuristic techniques for combining data from multiple sources, the text clearly illustrates: how to implement a data fusion system, the process for algorithm selection, functional architectures and requirements for ancillary software, and man-machine interface requirements and data base issues.
Contents:Introduction to Multisensor Data Fusion (DF). A Taxonomy of Data Fusion Techniques. Data Association. Positional. Fusion. Identity Declaration and Pattern Recognition. Identity Fusion. Knowledge Based Approaches. Implementation of Data Fusion Systems. Glossary. Mathematical Symbols. References.
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