Adaptive Filtering: Algorithms and Practical Implementation
Autor Paulo S. R. Dinizen Limba Engleză Paperback – 18 sep 2014
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: 9781489973894
ISBN-10: 1489973893
Pagini: 676
Dimensiuni: 155 x 235 x 35 mm
Greutate: 10.06 kg
Ediția:4th ed. 2013
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
ISBN-10: 1489973893
Pagini: 676
Dimensiuni: 155 x 235 x 35 mm
Greutate: 10.06 kg
Ediția:4th ed. 2013
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
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
ofAdaptive
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
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
Descriere
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.
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.