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Adaptive Filtering

Algorithms and Practical Implementation

  • Textbook
  • © 2020

Overview

Authors:
  1. Paulo S. R. Diniz

    1. Universidade Federal do Rio de Janeiro, Niterói, Brazil

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  • Fully revised and expanded textbook, now in its 5th edition, on adaptive signal processing adaptive filtering
  • Features problems, references, exercises, applications, and MATLAB code so readers can test algorithms
  • Includes a new chapter on Kalman Filtering and several expanded chapters
  • Request lecturer material: sn.pub/lecturer-material

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xviii
    Download chapter PDF

  2. Introduction to Adaptive Filtering

    • Paulo S. R. Diniz
    Pages 1-8

  3. Fundamentals of Adaptive Filtering

    • Paulo S. R. Diniz
    Pages 9-60

  4. The Least-Mean-Square (LMS) Algorithm

    • Paulo S. R. Diniz
    Pages 61-102

  5. LMS-Based Algorithms

    • Paulo S. R. Diniz
    Pages 103-155

  6. Conventional RLS Adaptive Filter

    • Paulo S. R. Diniz
    Pages 157-187

  7. Set-Membership Adaptive Filtering

    • Paulo S. R. Diniz
    Pages 189-229

  8. Adaptive Lattice-Based RLS Algorithms

    • Paulo S. R. Diniz
    Pages 231-261

  9. Fast Transversal RLS Algorithms

    • Paulo S. R. Diniz
    Pages 263-274

  10. QR-Decomposition-Based RLS Filters

    • Paulo S. R. Diniz
    Pages 275-305

  11. Adaptive IIR Filters

    • Paulo S. R. Diniz
    Pages 307-346

  12. Nonlinear Adaptive Filtering

    • Paulo S. R. Diniz
    Pages 347-370

  13. Subband Adaptive Filters

    • Paulo S. R. Diniz
    Pages 371-406

  14. Blind Adaptive Filtering

    • Paulo S. R. Diniz
    Pages 407-430

  15. Kalman Filters

    • Paulo S. R. Diniz
    Pages 431-456

  16. Back Matter

    Pages 457-495
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Keywords

About this book

In the fifth edition of this textbook, author Paulo S.R. Diniz presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual implementation. Algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Examples address up-to-date problems drawn from actual applications. Several chapters are expanded and a new chapter ‘Kalman Filtering’ is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters. A MATLAB package is provided so the reader can solve new problems and test algorithms. The book also offers easy access to working algorithms for practicing engineers.

Authors and Affiliations

  • Universidade Federal do Rio de Janeiro, Niterói, Brazil

    Paulo S. R. Diniz

About the author

Paulo S. R. Diniz his Ph.D. from Concordia University, Montreal, PQ, Canada, in 1984, all in electrical engineering. Since 1979, he has been with the undergraduate Department of Electronics and Computer Engineering at the UFRJ. He has also been with the graduate Program of Electrical Engineering at COPPE/UFRJ since 1984, where he is presently a Professor. He served as undergraduate course Coordinator and as Chairman of the graduate department. He is one of the three senior researchers and coordinators of the Brazilian National Excellence Center in Signal Processing. He has received the Rio de Janeiro State Scientist Award from the Governor of Rio de Janeiro State, and the Distinguished Research Scientist Award from COPPE/UFRJ (2002). From January 1991 to July 1992, he was a visiting Research Associate in the Department of Electrical and Computer Engineering of University of Victoria, Victoria, BC, Canada. In 2002 he served as Melchor Endowment Chair Professor in the Department of Electrical Engineering of the University of Notre Dame, Notre Dame, USA. He also holds a Docent position at the Signal Processing laboratory of Helsinki University of Technology, and has taught short courses at numerous institutions around the world. He has published over 200 refereed papers in some of these areas and wrote two books. He has received some awards for best papers and technical achievements. He was the Technical Program Chair of the 1995 MWSCAS held in Rio de Janeiro, Brazil. He has been on the technical committee of several international conferences including ISCAS, ICECS, EUSIPCO and MWSCAS. He has served Vice President for region 9 of the IEEE Circuits and Systems Society and as Chairman of the DSP technical committee of the same Society. He is also a Fellow of IEEE (for fundamental contributions to the design and implementation of fixed and adaptive filters and Electrical Engineering Education). He has served as associate editor for the following Journals: IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing from 1996 to 1999, IEEE Transactions on Signal Processing from 1999 to 2002, and the Circuits, Systems and Signal Processing Journal from 1998 to 2002. He was a distinguished lecturer of the IEEE Circuits and Systems Society for the years 2000 to 2001 and had served as distinguished lecturer of the IEEE Signal Processing Society in 2004.

Bibliographic Information

  • Book Title: Adaptive Filtering

  • Book Subtitle: Algorithms and Practical Implementation

  • Authors: Paulo S. R. Diniz

  • DOI: https://doi.org/10.1007/978-3-030-29057-3

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Hardcover ISBN: 978-3-030-29056-6Published: 24 December 2019

  • Softcover ISBN: 978-3-030-29059-7Published: 11 January 2021

  • eBook ISBN: 978-3-030-29057-3Published: 28 November 2019

  • Edition Number: 5

  • Number of Pages: XVIII, 495

  • Number of Illustrations: 209 b/w illustrations, 23 illustrations in colour

  • Additional Information: Originally published as volume 694 in the series: The International Series in Engineering and Computer Science

  • Topics: Signal, Image and Speech Processing, Circuits and Systems, Communications Engineering, Networks, Control and Systems Theory

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