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Synopsis
This unified treatment of linear and nonlinear filtering theory presents material previously available only in journals, and in terms accessible to engineering students. Its sole prerequisites are advanced calculus, the theory of ordinary differential equations, and matrix analysis. Although theory is emphasized, the text discusses numerous practical applications as well.
Taking the state-space approach to filtering, this text models dynamical systems by finite-dimensional Markov processes, outputs of stochastic difference, and differential equations. Starting with background material on probability theory and stochastic processes, the author introduces and defines the problems of filtering, prediction, and smoothing. He presents the mathematical solutions to nonlinear filtering problems, and he specializes the nonlinear theory to linear problems. The final chapters deal with applications, addressing the development of approximate nonlinear filters, and presenting a critical analysis of their performance.
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- PublisherDover Publications
- Publication date2007
- ISBN 10 0486462749
- ISBN 13 9780486462745
- BindingPaperback
- LanguageEnglish
- Number of pages400
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Stochastic Processes and Filtering Theory
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Stochastic Processes and Filtering Theory
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Stochastic Processes and Filtering Theory (Dover Books on Electrical Engineering)
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Stochastic Processes and Filtering Theory (Paperback or Softback)
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Dover Publications 11/12/2007, 2007
ISBN 10: 0486462749
ISBN 13: 9780486462745
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Stochastic Processes and Filtering Theory
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Stochastic Processes and Filtering Theory (Dover Books on Electrical Engineering)
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