BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Stochastic Processes in Engineering Systems (Springer Texts in Electrical Engineering)

Stochastic Processes in Engineering Systems (Springer Texts in Electrical Engineering)

Stochastic Processes in Engineering Systems (Springer Texts in Electrical
Stock photo: cover may vary

Stochastic Processes in Engineering Systems (Springer Texts in Electrical Engineering) Paperback - 2011

by E. Wong

Add to wish list
  • New
  • Paperback
New

Description

Springer New York, 2011. Paperback. New. 2nd edition. 361 pages. 9.20x6.10x0.90 inches.
Ask the seller a question Add to wish list
A$127.46
A$47.54 Delivery to USA
Standard delivery: 7 to 14 days
More delivery options
Ships from Revaluation Books (Devon, United Kingdom)

Details

About Revaluation Books Devon, United Kingdom

Biblio member since 2020

General bookseller of both fiction and non-fiction.

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Revaluation Books

Reader reviews for Stochastic Processes in Engineering Systems (Springer Texts in Electrical Engineering)

From the publisher

This book is a revision of Stochastic Processes in Information and Dynamical Systems written by the first author (E.W.) and published in 1971. The book was originally written, and revised, to provide a graduate level text in stochastic processes for students whose primary interest is its applications. It treats both the traditional topic of sta- tionary processes in linear time-invariant systems as well as the more modern theory of stochastic systems in which dynamic structure plays a profound role. Our aim is to provide a high-level, yet readily acces- sible, treatment of those topics in the theory of continuous-parameter stochastic processes that are important in the analysis of information and dynamical systems. The theory of stochastic processes can easily become abstract. In dealing with it from an applied point of view, we have found it difficult to decide on the appropriate level of rigor. We intend to provide just enough mathematical machinery so that important results can be stated PREFACE vi with precision and clarity; so much ofthe theory of stochastic processes is inherently simple if the suitable framework is provided. The price of providing this framework seems worth paying even though the ul- timate goal is in applications and not the mathematics per se.
tracking-