Adaptive Filtering: Prediction and Control

Goodwin, Graham C.; Sin, Kwai Sang; Kailath, Thomas

ISBN 10: 013004069X / ISBN 13: 9780130040695

Published by Prentice-Hall, Inc., Englewood Cliffs

About this Item

Adaptive Filtering: Prediction and Control by Graham C. Goodwin and Kwai Sang Sin, part of the Information and Systems Science Series (series editor Thomas Kailath). Hardcover first edition, first printing in Fine/VG++ condition. The glossy covers are in great shape, maintaining their shine and appeal. The binding is square, though slightly gapped at the head of the spine, as is common from normal vertical shelf storage. There is a minor abrasion to the front flyleaf. The interior pages are clean, bright as new, and unmarked.This comprehensive survey delves into linear discrete-time systems while also addressing natural extensions to nonlinear systems. Recognizing the significance of computers in practical applications, the authors place a strong emphasis on discrete-time systems. Their methodology provides a thorough overview of both the theoretical and practical aspects of a wide range of adaptive algorithms. 1984 edition.The book will be carefully packaged in bubble-wrap and enclosed in a sturdy carton box to ensure protection from the elements. A USPS electronic tracking number will be issued free of charge. Feel free to contact us for more information or pictures regarding the book.

Seller Inventory # 16825

Bibliographic Details

• Title: Adaptive Filtering: Prediction and Control
• Publisher: Prentice-Hall, Inc., Englewood Cliffs
• Language: English
• ISBN 10: 013004069X
• ISBN 13: 9780130040695
• Binding: Hardcover
• Edition: First Edition.
• Printing: First Printing
• Condition: Fine
• Dust Jacket Condition: No Jacket
• Dimensions: 9.5W x 7.15H x 1.2D inches 9.5 inches width by 7.15 inches height by 1.2 inches depth

About this title

Synopsis

This unified survey focuses on linear discrete-time systems and explores the natural extensions to nonlinear systems. In keeping with the importance of computers to practical applications, the authors emphasize discrete-time systems. Their approach summarizes the theoretical and practical aspects of a large class of adaptive algorithms. 1984 edition.