Adaptive Filtering: Algorithms and Practical Implementation
Autor Paulo S. R. Dinizen Limba Engleză Hardback – 14 aug 2012
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
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.
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Specificații
ISBN-13: 9781461441052
ISBN-10: 1461441056
Pagini: 676
Ilustrații: XXI, 652 p. 199 illus., 11 illus. in color.
Dimensiuni: 155 x 235 x 43 mm
Greutate: 1.12 kg
Ediția:4th ed. 2013
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
ISBN-10: 1461441056
Pagini: 676
Ilustrații: XXI, 652 p. 199 illus., 11 illus. in color.
Dimensiuni: 155 x 235 x 43 mm
Greutate: 1.12 kg
Ediția:4th ed. 2013
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
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Public țintă
GraduateCuprins
Introduction to Adaptive Filtering.- Fundamentals of Adaptive Filtering.- The Least-Mean-Square (LMS) Algorithm.- LMS-Based Algorithms.- Conventional RLS Adaptive Filter.- Data-Selective Adaptive Filtering.- Adaptive Lattice-Based RLS Algorithms.- Fast Transversal RLS Algorithms.- QR-Decomposition-Based RLS Filters.- Adaptive IIR Filters.- Nonlinear Adaptive Filtering.- Subband Adaptive Filters.- Blind Adaptive Filtering.
Textul de pe ultima copertă
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:
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.
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
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.
Caracteristici
Presents adaptive filtering algorithms in a unified framework and using a clear notation that facilitates their actual implementation Accompanying supplementary material including password- protected Instructor Solutions Manual, Slides in PDF and user-friendly MATLAB package available for download Many analytical and practical examples are included in the text Covers the family of LMS, affine projection, RLS and data-selective set-membership algorithms as well as non-linear, sub-band, blind and IIR adaptive filtering Request lecturer material: sn.pub/lecturer-material
Notă biografică
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.
Descriere
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In its 4th edition, this book reviews basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner, covering the main classes of adaptive filtering algorithms and using clear notation to facilitate implementation.
In its 4th edition, this book reviews basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner, covering the main classes of adaptive filtering algorithms and using clear notation to facilitate implementation.