Stochastic Processes and Filtering Theory (Volume 64)

Jazwinski, Andrew H.

ISBN 10: 0123815509 / ISBN 13: 9780123815507

Published by Academic Press, 1970

About this Item

Volume 64. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Book contains pen & pencil markings. In poor condition, suitable as a reading copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:0123815509.

Seller Inventory # 9740686

Bibliographic Details

• Title: Stochastic Processes and Filtering Theory (Volume 64)
• Publisher: Academic Press
• Publication Date: 1970
• Language: English
• ISBN 10: 0123815509
• ISBN 13: 9780123815507
• Binding: Hardcover
• Condition: Poor
• Weight: 850 grams
• Seller catalogs:
  • Mathematics

About this title

Synopsis

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.