Adaptive Filtering: Algorithms and Practical Implementation - Rilegato

Diniz, Paulo S. R.

 
9781461441052: Adaptive Filtering: Algorithms and Practical Implementation
Rilegato
ISBN 10: 1461441056 ISBN 13: 9781461441052
Casa editrice: Springer Nature, 2012

Sinossi

In the fourth edition of Adaptive Filtering: Algorithms and Practical Implementation, author Paulo S.R. Diniz presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner. The main classes of adaptive filtering algorithms are presented in a unified framework, using clear notations that facilitate actual implementation.

The main algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Many examples address problems drawn from actual applications. New material to this edition includes:

  • Analytical and simulation examples in Chapters 4, 5, 6 and 10
  • Appendix E, which summarizes the analysis of set-membership algorithm
  • Updated problems and references

Providing a concise background on adaptive filtering, this book covers the family of LMS, affine projection, RLS and data-selective set-membership algorithms as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more.

Several problems are included at the end of chapters, and some of these problems address applications. A user-friendly MATLAB package is provided where the reader can easily solve new problems and test algorithms in a quick manner. Additionally, the book provides easy access to working algorithms for practicing engineers.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

In the fourth edition of Adaptive Filtering: Algorithms and Practical Implementation, author Paulo S.R. Diniz presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner. The main classes of adaptive filtering algorithms are presented in a unified framework, using clear notations that facilitate actual implementation.

The main algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Many examples address problems drawn from actual applications. New material to this edition includes:

  • Analytical and simulation examples in Chapters 4, 5, 6 and 10
  • Appendix E, which summarizes the analysis of set-membership algorithm
  • Updated problems and references

Providing a concise background on adaptive filtering, this book covers the family of LMS, affine projection, RLS and data-selective set-membership algorithms as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more.

Several problems are included at the end of chapters, and some of these problems address applications. A user-friendly MATLAB package is provided where the reader can easily solve new problems and test algorithms in a quick manner. Additionally, the book provides easy access to working algorithms for practicing engineers.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer Nature
Data di pubblicazione
2012
Lingua
Inglese
ISBN 10 
1461441056
ISBN 13 
9781461441052
Rilegatura
Copertina rigida
Numero edizione
4
Numero di pagine
652
Contatto del produttore
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3,69115 Heidelberg, Germany
Heidelberg
69115
Germania

Altre edizioni note dello stesso titolo

9781489973894: Adaptive Filtering: Algorithms and Practical Implementation

Edizione in evidenza

ISBN 10:  1489973893 ISBN 13:  9781489973894
Casa editrice: Springer, 2014
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