Revised 1/03/2005

Author(s)

Yu Francis T.S.

Jutamulia Suganda

 

Previous

Up

Next

OPTICAL SIGNAL PROCESSING, COMPUTING, AND NEURAL NETWORKS

Edition

Orig. Ed 1992, Reprint Ed. 2000

Description

Pages

432

This is a self-contained textbook that offers an introductory survey which examines the information optics, linear and nonconventional processing, and numerical, symbolic and neural computing.  This comprehensive source book is a basic text for students and technical staffs, who lack an intensive background in classical optics, electromagnetics, computer, and neural network theories.  It will also serve as a working reference to scientists, engineers and graduate students who are involved in current research and development of modern optical signal processing, computing and neural network areas.  The book contains updated materials on optical signal processing, computing, and neural network areas.  It has been used as a required textbook in the Electrical Engineering Department at Pennsylvania State University, and has also been used as a course text and reference book in several universities in the United States and abroad.  This book has been translated into Japanese and Chinese.   The content is unique, in that no other published book contained these three features: signal processing, computing and neural networks, in a single volume. A solutions manual is available to qualified instructors.

Krieger Book Number

231571

ISBN #

1-57524-157-9

Reviews

Cloth/Paper

C

U.S. Dollars

$60.5

 

Ordering Information and Policy Page
Clicking the [E-mail Qoute Form button] will take you to the Krieger Information Request Form, where you can verify book prices and shipping charges. You can also make other inquiries about titles of interest. Remember to include your e-mail and address information so we may contact you if there are any questions. And don’t forget that our TOLL FREE ORDER LINE is available!

Toll Free Order Line 1-800-724-0025 U.S. or E-mail!

Subject Category Listing Page

Books Page

Homepage