Stochastic Processes and Filtering Theory

Jazwinski, Andrew H.

ISBN 10: 0486462749 / ISBN 13: 9780486462745

Published by Dover, Mineola NY, 2007

About this Item

5 3/8 x 8 1/2 " 400 pages. unabridged republication of the Academic Press publication.

Seller Inventory # 120254

Bibliographic Details

• Title: Stochastic Processes and Filtering Theory
• Publisher: Dover, Mineola NY
• Publication Date: 2007
• Language: English
• ISBN 10: 0486462749
• ISBN 13: 9780486462745
• Binding: paperback
• Condition: as new

About this title

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.