Download Ebook Stochastic Processes and Filtering Theory, by Andrew H. Jazwinski
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Stochastic Processes and Filtering Theory, by Andrew H. Jazwinski
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This book presents a unified treatment of linear and nonlinear filtering theory for engineers, with sufficient emphasis on applications to enable the reader to use the theory. The need for this book is twofold. First, although linear estimation theory is relatively well known, it is largely scattered in the journal literature and has not been collected in a single source. Second, available literature on the continuous nonlinear theory is quite esoteric and controversial, and thus inaccessible to engineers uninitiated in measure theory and stochastic differential equations. Furthermore, it is not clear from the available literature whether the nonlinear theory can be applied to practical engineering problems. In attempting to fill the stated needs, the author has retained as much mathematical rigor as he felt was consistent with the prime objective-to explain the theory to engineers. Thus, the author has avoided measure theory in this book by using mean square convergence, on the premise that everyone knows how to average. As a result, the author only requires of the reader background in advanced calculus, theory of ordinary differential equations, and matrix analysis.
- Sales Rank: #7576558 in Books
- Published on: 2012-02-01
- Format: Large Print
- Original language: English
- Dimensions: 9.00" h x .88" w x 6.00" l,
- Binding: Paperback
- 390 pages
Most helpful customer reviews
1 of 1 people found the following review helpful.
Perhaps the best introductory book on Kalman filters
By Juan M. Restrepo
This is a classic. Perhaps the best introductory book on Kalman filters. Good thing this old book has been rediscovered,
I have all my grad students read it as a starter for research. However, it is not comprehensive: for beginners I also assign
them to match the derivations in this book to the least squares point of view, and further, I have them do it more generally
in a linear algebraic setting.
0 of 0 people found the following review helpful.
Four Stars
By Donald D. Boyer
Excellent book, readable and in fine shape.
0 of 0 people found the following review helpful.
Five Stars
By assonken blondel
V.G for my research
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