Statistical Multisource-Multitarget Information Fusion

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[概率统计] Statistical Multisource-Multitarget Information Fusion
Statistical Multisource-Multitarget Information Fusion
By Ronald P. S. Mahler

Publisher:   Artech House Publishers
Number Of Pages:   888
Publication Date:   2007-02-28
ISBN-10 / ASIN:   1596930926
ISBN-13 / EAN:   9781596930926
Description:
This comprehensive resource provides you with an in-depth understanding of finite-set statistics (FISST) - a recently developed method which unifies much of information fusion under a single probabilistic, in fact Bayesian, paradigm. The book helps you master FISST concepts, techniques, and algorithms, so you can use FISST to address real-world challenges in the field. You learn how to model, fuse, and process highly disparate information sources, and detect and track non-cooperative individual/platform groups and conventional non-cooperative targets.
You find a rigorous Bayesian unification for many aspects of expert systems theory. Moreover, the book presents systematic integral and differential calculus for multisource-multitarget problems, providing a methodology for devising rigorous new techniques. This accessible and detailed book is supported with over 3,000 equations, 90 clear examples, 70 explanatory figures, and 60 exercises with solutions.

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关键词：Statistical information statistica Informatio formation developed recently provides method

好的！好书啊！

谢谢楼主提供的资料。

3Q   做个系统的专题就更好了。

怎么整金币啊

thanks

我发这本书的时候也是刚开始研究这个方向的一些方法。看这个方向有篇博士论文比较经典：Ba Tuong Vo, "Random Finite Sets in Multi-Object Filtering," The university of western Austrailia.

多谢楼主分享。

挺难得的资料，作者矢志不渝的推广自己那一套理论