文件名称:Theory-and-Practice-Using-MATLAB
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The book is organized for use as a text for an introductory course in stochastic
processes at the senior level and as a?rst-year graduate-level course in Kalman
?ltering theory and application.It could also be used for self-instruction or for
purposes of review by practicing engineers and scientists who are not intimately
familiar with the subject.The organization of the material is illustrated by the
following chapter-level dependency graph,which shows how the subject of each
chapter depends upon material in other chapters.The arrows in the?gure indicate
the recommended order of study.Boxes above another box and connected by arrows
indicate that the material represented by the upper boxes is background material for
the subject in the lower box.
processes at the senior level and as a?rst-year graduate-level course in Kalman
?ltering theory and application.It could also be used for self-instruction or for
purposes of review by practicing engineers and scientists who are not intimately
familiar with the subject.The organization of the material is illustrated by the
following chapter-level dependency graph,which shows how the subject of each
chapter depends upon material in other chapters.The arrows in the?gure indicate
the recommended order of study.Boxes above another box and connected by arrows
indicate that the material represented by the upper boxes is background material for
the subject in the lower box.
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Kalman Filtering Theory and Practice Using MATLAB - Grewal and Andrews.pdf