Adaptive Filter Theory / Edition 3

Hardcover (Print)
Used and New from Other Sellers
Used and New from Other Sellers
from $27.27
Usually ships in 1-2 business days
(Save 74%)
Other sellers (Hardcover)
  • All (10) from $27.27   
  • New (4) from $70.23   
  • Used (6) from $27.27   
Close
Sort by
Page 1 of 1
Showing All
Note: Marketplace items are not eligible for any BN.com coupons and promotions
$70.23
Seller since 2014

Feedback rating:

(0)

Condition:

New — never opened or used in original packaging.

Like New — packaging may have been opened. A "Like New" item is suitable to give as a gift.

Very Good — may have minor signs of wear on packaging but item works perfectly and has no damage.

Good — item is in good condition but packaging may have signs of shelf wear/aging or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Acceptable — item is in working order but may show signs of wear such as scratches or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Used — An item that has been opened and may show signs of wear. All specific defects should be noted in the Comments section associated with each item.

Refurbished — A used item that has been renewed or updated and verified to be in proper working condition. Not necessarily completed by the original manufacturer.

New
Hardcover New 013322760X Brand New US Edition Book in Perfect Condition. Fast Shipping with tracking number.

Ships from: Houston, TX

Usually ships in 1-2 business days

  • Canadian
  • International
  • Standard, 48 States
  • Standard (AK, HI)
  • Express, 48 States
  • Express (AK, HI)
$131.50
Seller since 2014

Feedback rating:

(278)

Condition: New
Brand New Item.

Ships from: Chatham, NJ

Usually ships in 1-2 business days

  • Canadian
  • International
  • Standard, 48 States
  • Standard (AK, HI)
  • Express, 48 States
  • Express (AK, HI)
$155.00
Seller since 2014

Feedback rating:

(177)

Condition: New
Brand new.

Ships from: acton, MA

Usually ships in 1-2 business days

  • Standard, 48 States
  • Standard (AK, HI)
$155.00
Seller since 2014

Feedback rating:

(177)

Condition: New
Brand new.

Ships from: acton, MA

Usually ships in 1-2 business days

  • Standard, 48 States
  • Standard (AK, HI)
Page 1 of 1
Showing All
Close
Sort by

Overview

CONTENTS

Preface
Acknowledgments
Background and Preview

  • Chapter 1
    Stochastic Processes and Models
  • Chapter 2 Wiener Filters
  • Chapter 3 Linear Prediction
  • Chapter 4 Method of Steepest Descent
  • Chapter 5 Least-Mean-Square Adaptive Filters
  • Chapter 6 Normalized Least-Mean-Square Adaptive Filters
  • Chapter 7 Frequency-Domain and Subband Adaptive Filters
  • Chapter 8 Method of Least Squares
  • Chapter 9 Recursive Least-Square Adaptive Filters
  • Chapter 10 Kalman Filters
  • Chapter 11 Square-Root Adaptive Filters
  • Chapter 12 Order-Recursive Adaptive Filters
  • Chapter 13 Finite-Precision Effects
  • Chapter 14 Tracking of Time-Varying Systems
  • Chapter 15 Adaptive Filters Using Infinite-Duration Impulse Response Structures
  • Chapter 16 Blind Deconvolution
  • Chapter 17 Back-Propagation Learning

Epilogue

  • Appendix A Complex Variables
  • Appendix B Differentiation with Respect to a Vector
  • Appendix C Method of Lagrange Multipliers
  • Appendix D Estimation Theory
  • Appendix E Eigenanalysis
  • Appendix F Rotations and Reflections
  • Appendix G Complex Wishart Distribution
  • Glossary
  • Bibliography
  • Index
Read More Show Less

Editorial Reviews

Booknews
At a level suitable for graduate courses on adaptive signal processing, this textbook develops the mathematical theory of various realizations of linear adaptive filters with finite-duration impulse response, and also provides an introductory treatment of supervised neural networks. Numerous computer experiments illustrate the underlying theory and applications of the LMS (least mean-square) and RLS (recursive-least-squares) algorithms, and problems conclude each chapter. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Read More Show Less

Product Details

  • ISBN-13: 9780133227604
  • Publisher: Prentice Hall Professional Technical Reference
  • Publication date: 12/27/1995
  • Series: Prentice Hall Information and System Science Series
  • Edition description: Older Edition
  • Edition number: 3
  • Pages: 987
  • Product dimensions: 7.73 (w) x 9.51 (h) x 1.69 (d)

Table of Contents

Preface
Acknowledgments
Introduction 1
Ch. 1 Discrete-Time Signal Processing 79
Ch. 2 Stationary Processes and Models 96
Ch. 3 Spectrum Analyis 136
Ch. 4 Eigenanalysis 160
Ch. 5 Wiener Filters 194
Ch. 6 Linear Prediction 241
Ch. 7 Kalman Filters 302
Ch. 8 Method of Steepest Descent 339
Ch. 9 Least-Mean-Square Algorithm 365
Ch. 10 Frequency-Domain Adaptive Filters 445
Ch. 11 Method of Least Squares 483
Ch. 12 Rotations and Reflections 536
Ch. 13 Recursive Least-Squares Algorithm 562
Ch. 14 Square-Root Adaptive Filters 589
Ch. 15 Order-Recursive Adaptive Filters 630
Ch. 16 Tracking of Time-Varying Systems 701
Ch. 17 Fine-Precision Effects 738
Ch. 18 Blind Deconvolution 772
Ch. 19 Back-Propagation Learning 817
Ch. 20 Radial Basis Funuction Networks 855
Appendix A Complex Variables 875
Appendix B Differentiation with Respect to a Vector 890
Appendix C Method of Lagrange Multipliers 895
Appendix D Estimation Theory 899
Appendix E Maximum-Entropy Method 905
Appendix F Minimum-Variance Distortionless Response Spectrum 912
Appendix G Gradient Adaptive Lattice Algorithm 915
Appendix H Solution of the Difference Equation (9.75) 919
Appendix I Steady-State Analysis of the LMS Algorithm without Invoking the Independence Assumption 921
Appendix J The Complex Wishart Distribution 924
Glossary 928
Abbreviations 932
Principal Symbols 933
Bibliography 941
Index 978
Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)