Maurizio Taiuti

Stochastic Processes And Filtering Theory

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Stochastic Processes And Filtering TheoryISBN13:9780486462745ISBN10:0486462749Author:Jazwinski, Andrew H. (Author)Description: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 Binding:Paperback, PaperbackPublisher:DOVER PUBN INCPublication Date:2007-11-12Weight:0.89 lbsDimensions:0.76'' H x 8.51'' L x 6.07'' WNumber of Pages:376Language:English

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Location: USA

End Time: 2023-12-26T11:40:33.000Z

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Stochastic Processes And Filtering Theory

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Book Title: Stochastic Processes And Filtering Theory

Author: Jazwinski, Andrew H. (Author)

Language: English

Publisher: Dover Publications

Type: Textbook

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