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Adaptive Signal Processing

Applications to Real-World Problems

  • Jacob Benesty
  • Yiteng Huang

Part of the Signals and Communication Technology book series (SCT)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Eberhard Hänsler, Gerhard Schmidt
    Pages 59-93
  3. Jingdong Chen, Yiteng Huang, Jacob Benesty
    Pages 129-154
  4. Wolfgang Herbordt, Walter Kellermann
    Pages 155-194
  5. Markus Rupp, Andreas Burg
    Pages 249-281
  6. Sofiène Affes, Paul Mermelstein
    Pages 283-321
  7. Back Matter
    Pages 353-356

About this book

Introduction

By adaptive signal processing, we mean, in general, adaptive ?ltering.In- known environments where we need to model, identify, or track time-varying channels, adaptive ?ltering has been proven to be an e?ective and powerful tool. As a result, this tool is now in use in many di?erent ?elds. Since the invention, by Widrow and Ho? in 1959, of one of the ?rst ad- tive ?lters, the so-called least-mean-square, many applications appeared to have the potential to use this fundamental concept. While the number of - plications (using adaptive algorithms) has been (and keeps) ?ourishing with time, thanks to several successes, the need for more sophisticated adaptive algorithms became obvious as real-world problems are more complex and more demanding. Even though the theory of adaptive ?ltering is already a well-established topic in signal processing, new and improved concepts are discovered every year by researchers. Some of these recent approaches are discussed in this book. The goal of this book is to provide, for the ?rst time, a reference to the hottest real-world applications where adaptive ?ltering techniques play an important role. To do so, we invited top researchers in di?erent ?elds to c- tribute chapters addressing their speci?c topic of study. Thousands of pages wouldprobablynotbe enoughto describeallthe practicalapplicationsutil- ing adaptive algorithms. Therefore, we limited the topics to some important applications in acoustics, speech, wireless, and networking, where research is still very active and open.

Keywords

802.11 Code Division Multiple Access IEEE 80 IEEE 802.11 Internet Skew acoustics adaptive Filter antenna blind source separation communication filtering filters signal processing system identification

Editors and affiliations

  • Jacob Benesty
    • 1
  • Yiteng Huang
    • 1
  1. 1.Bell LabsLucent TechnologiesMurray HillUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-11028-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-05507-2
  • Online ISBN 978-3-662-11028-7
  • Series Print ISSN 1860-4862
  • Buy this book on publisher's site