Theory And Design Of Adaptive Filters

Author : John R. Treichler,C. Richard Johnson,Michael G. Larimore
Publisher : Pearson Education
Page : 376 pages
File Size : 54,9 Mb
Release : 2001
Category : Adaptive filters
ISBN : UCSD:31822029824786

Get Book

Theory and Design of Adaptive Filters by John R. Treichler,C. Richard Johnson,Michael G. Larimore Pdf

Rather than superficially examining an extensive list of possible applications benefiting from adaptive filter use, the authors examine four such problems in detail and review the common attributes that are shared with many other applications of adaptive filtering.The authors develop the basic rules and algorithms for filter performance and provide tools for design, along with an appreciation of the complexity of behavioral analysis. Derivations and convergence discussions are kept to a basic level. The presentation focuses on a few principles and applies them to a series of motivating examples, that include in-depth discussion of implementation aspects for filter design not found in other books.Serves as a valuable reference for practicing engineers.

Author : Treichler Johnson Jr. & Larimore
Publisher : Unknown
Page : 364 pages
File Size : 42,8 Mb
Release : 2024-06-14
Category : Electronic
ISBN : 8120321669

Get Book

Theory And Design Of Adaptive Filters by Treichler Johnson Jr. & Larimore Pdf

Author : Paulo S. R. Diniz
Publisher : Springer Science & Business Media
Page : 636 pages
File Size : 52,7 Mb
Release : 2008-05-22
Category : Technology & Engineering
ISBN : 9780387686066

Get Book

Adaptive Filtering by Paulo S. R. Diniz Pdf

This book presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner, using clear notations that facilitate actual implementation. Important algorithms are described in detailed tables which allow the reader to verify learned concepts. The book covers the family of LMS and algorithms as well as set-membership, sub-band, blind, IIR adaptive filtering, and more. The book is also supported by a web page maintained by the author.

Author : Kong-Aik Lee,Woon-Seng Gan,Sen M. Kuo
Publisher : John Wiley & Sons
Page : 344 pages
File Size : 48,9 Mb
Release : 2009-07-06
Category : Science
ISBN : 0470745983

Get Book

Subband Adaptive Filtering by Kong-Aik Lee,Woon-Seng Gan,Sen M. Kuo Pdf

Subband adaptive filtering is rapidly becoming one of the most effective techniques for reducing computational complexity and improving the convergence rate of algorithms in adaptive signal processing applications. This book provides an introductory, yet extensive guide on the theory of various subband adaptive filtering techniques. For beginners, the authors discuss the basic principles that underlie the design and implementation of subband adaptive filters. For advanced readers, a comprehensive coverage of recent developments, such as multiband tap–weight adaptation, delayless architectures, and filter–bank design methods for reducing band–edge effects are included. Several analysis techniques and complexity evaluation are also introduced in this book to provide better understanding of subband adaptive filtering. This book bridges the gaps between the mixed–domain natures of subband adaptive filtering techniques and provides enough depth to the material augmented by many MATLAB® functions and examples. Key Features: Acts as a timely introduction for researchers, graduate students and engineers who want to design and deploy subband adaptive filters in their research and applications. Bridges the gaps between two distinct domains: adaptive filter theory and multirate signal processing. Uses a practical approach through MATLAB®-based source programs on the accompanying CD. Includes more than 100 M-files, allowing readers to modify the code for different algorithms and applications and to gain more insight into the theory and concepts of subband adaptive filters. Subband Adaptive Filtering is aimed primarily at practicing engineers, as well as senior undergraduate and graduate students. It will also be of interest to researchers, technical managers, and computer scientists.

Author : Simon Haykin,Bernard Widrow
Publisher : John Wiley & Sons
Page : 516 pages
File Size : 40,8 Mb
Release : 2003-09-08
Category : Technology & Engineering
ISBN : 0471215708

Get Book

Least-Mean-Square Adaptive Filters by Simon Haykin,Bernard Widrow Pdf

Edited by the original inventor of the technology. Includes contributions by the foremost experts in the field. The only book to cover these topics together.

Author : Danilo P. Mandic,Vanessa Su Lee Goh
Publisher : John Wiley & Sons
Page : 344 pages
File Size : 48,7 Mb
Release : 2009-04-20
Category : Science
ISBN : 9780470742631

Get Book

Complex Valued Nonlinear Adaptive Filters by Danilo P. Mandic,Vanessa Su Lee Goh Pdf

This book was written in response to the growing demand for a text that provides a unified treatment of linear and nonlinear complex valued adaptive filters, and methods for the processing of general complex signals (circular and noncircular). It brings together adaptive filtering algorithms for feedforward (transversal) and feedback architectures and the recent developments in the statistics of complex variable, under the powerful frameworks of CR (Wirtinger) calculus and augmented complex statistics. This offers a number of theoretical performance gains, which is illustrated on both stochastic gradient algorithms, such as the augmented complex least mean square (ACLMS), and those based on Kalman filters. This work is supported by a number of simulations using synthetic and real world data, including the noncircular and intermittent radar and wind signals.

Author : Weifeng Liu,José C. Principe,Simon Haykin
Publisher : John Wiley & Sons
Page : 167 pages
File Size : 48,7 Mb
Release : 2011-09-20
Category : Science
ISBN : 9781118211212

Get Book

Kernel Adaptive Filtering by Weifeng Liu,José C. Principe,Simon Haykin Pdf

Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced signal processing, communications, and controls. Kernel Adaptive Filtering is the first book to present a comprehensive, unifying introduction to online learning algorithms in reproducing kernel Hilbert spaces. Based on research being conducted in the Computational Neuro-Engineering Laboratory at the University of Florida and in the Cognitive Systems Laboratory at McMaster University, Ontario, Canada, this unique resource elevates the adaptive filtering theory to a new level, presenting a new design methodology of nonlinear adaptive filters. Covers the kernel least mean squares algorithm, kernel affine projection algorithms, the kernel recursive least squares algorithm, the theory of Gaussian process regression, and the extended kernel recursive least squares algorithm Presents a powerful model-selection method called maximum marginal likelihood Addresses the principal bottleneck of kernel adaptive filters—their growing structure Features twelve computer-oriented experiments to reinforce the concepts, with MATLAB codes downloadable from the authors' Web site Concludes each chapter with a summary of the state of the art and potential future directions for original research Kernel Adaptive Filtering is ideal for engineers, computer scientists, and graduate students interested in nonlinear adaptive systems for online applications (applications where the data stream arrives one sample at a time and incremental optimal solutions are desirable). It is also a useful guide for those who look for nonlinear adaptive filtering methodologies to solve practical problems.

Author : Simon S. Haykin
Publisher : Unknown
Page : 884 pages
File Size : 46,7 Mb
Release : 1991
Category : Mathematics
ISBN : UOM:39015058331615

Get Book

Adaptive Filter Theory by Simon S. Haykin Pdf

This book develops the mathematical theory of linear adaptive filters with finite impulse response. Examples and computer experiment applications illustrate the theory and principles. The second edition has also been restructured with an introduction followed by four parts: discrete-time wide-sense station stochastic process; linear optimum filtering; linear FIR adaptive filtering; limitations, extensions and discussions. on blind deconvolution, new appendix material on complex variables and regulation.

Author : Behrouz Farhang-Boroujeny
Publisher : John Wiley & Sons
Page : 800 pages
File Size : 55,6 Mb
Release : 2013-04-02
Category : Technology & Engineering
ISBN : 9781118591338

Get Book

Adaptive Filters by Behrouz Farhang-Boroujeny Pdf

This second edition of Adaptive Filters: Theory and Applications has been updated throughout to reflect the latest developments in this field; notably an increased coverage given to the practical applications of the theory to illustrate the much broader range of adaptive filters applications developed in recent years. The book offers an easy to understand approach to the theory and application of adaptive filters by clearly illustrating how the theory explained in the early chapters of the book is modified for the various applications discussed in detail in later chapters. This integrated approach makes the book a valuable resource for graduate students; and the inclusion of more advanced applications including antenna arrays and wireless communications makes it a suitable technical reference for engineers, practitioners and researchers. Key features: • Offers a thorough treatment of the theory of adaptive signal processing; incorporating new material on transform domain, frequency domain, subband adaptive filters, acoustic echo cancellation and active noise control. • Provides an in-depth study of applications which now includes extensive coverage of OFDM, MIMO and smart antennas. • Contains exercises and computer simulation problems at the end of each chapter. • Includes a new companion website hosting MATLAB® simulation programs which complement the theoretical analyses, enabling the reader to gain an in-depth understanding of the behaviours and properties of the various adaptive algorithms.

Author : Graham C Goodwin,Kwai Sang Sin
Publisher : Courier Corporation
Page : 562 pages
File Size : 41,5 Mb
Release : 2014-05-05
Category : Technology & Engineering
ISBN : 9780486137728

Get Book

Adaptive Filtering Prediction and Control by Graham C Goodwin,Kwai Sang Sin Pdf

This unified survey focuses on linear discrete-time systems and explores natural extensions to nonlinear systems. It emphasizes discrete-time systems, summarizing theoretical and practical aspects of a large class of adaptive algorithms. 1984 edition.

Author : Ali H. Sayed
Publisher : John Wiley & Sons
Page : 824 pages
File Size : 40,6 Mb
Release : 2011-10-11
Category : Science
ISBN : 9781118210840

Get Book

Adaptive Filters by Ali H. Sayed Pdf

Adaptive filtering is a topic of immense practical and theoretical value, having applications in areas ranging from digital and wireless communications to biomedical systems. This book enables readers to gain a gradual and solid introduction to the subject, its applications to a variety of topical problems, existing limitations, and extensions of current theories. The book consists of eleven parts?each part containing a series of focused lectures and ending with bibliographic comments, problems, and computer projects with MATLAB solutions.

Author : Simon S. Haykin
Publisher : Unknown
Page : 1018 pages
File Size : 55,9 Mb
Release : 1996
Category : Technology & Engineering
ISBN : UOM:49015002344928

Get Book

Adaptive Filter Theory by Simon S. Haykin Pdf

Haykin examines both the mathematical theory behind various linear adaptive filters with finite-duration impulse response (FIR) and the elements of supervised neural networks. This edition has been updated and refined to keep current with the field and develop concepts in as unified and accessible a manner as possible. It: introduces a completely new chapter on Frequency-Domain Adaptive Filters; adds a chapter on Tracking Time-Varying Systems; adds two chapters on Neural Networks; enhances material on RLS algorithms; strengthens linkages to Kalman filter theory to gain a more unified treatment of the standard, square-root and order-recursive forms; and includes new computer experiments using MATLAB software that illustrate the underlying theory and applications of the LMS and RLS algorithms.

Author : Paulo S. R. Diniz,Marcello L. R. de Campos,Wallace A. Martins,Markus V. S. Lima,Jose A. Apolinário, Jr
Publisher : Cambridge University Press
Page : 270 pages
File Size : 46,5 Mb
Release : 2022-12-08
Category : Technology & Engineering
ISBN : 9781108902243

Get Book

Online Learning and Adaptive Filters by Paulo S. R. Diniz,Marcello L. R. de Campos,Wallace A. Martins,Markus V. S. Lima,Jose A. Apolinário, Jr Pdf

Learn to solve the unprecedented challenges facing Online Learning and Adaptive Signal Processing in this concise, intuitive text. The ever-increasing amount of data generated every day requires new strategies to tackle issues such as: combining data from a large number of sensors; improving spectral usage, utilizing multiple-antennas with adaptive capabilities; or learning from signals placed on graphs, generating unstructured data. Solutions to all of these and more are described in a condensed and unified way, enabling you to expose valuable information from data and signals in a fast and economical way. The up-to-date techniques explained here can be implemented in simple electronic hardware, or as part of multi-purpose systems. Also featuring alternative explanations for online learning, including newly developed methods and data selection, and several easily implemented algorithms, this one-of-a-kind book is an ideal resource for graduate students, researchers, and professionals in online learning and adaptive filtering.

Author : Paulo Sergio Ramirez Diniz
Publisher : Springer Science & Business Media
Page : 594 pages
File Size : 55,8 Mb
Release : 2002
Category : Adaptive filters
ISBN : 1402071256

Get Book

Adaptive Filtering by Paulo Sergio Ramirez Diniz Pdf

Adaptive Filtering: Algorithms and Practical Implementation, Second Edition, presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation. It is suitable as a textbook for senior undergraduate or first-year graduate courses in adaptive signal processing and adaptive filters. The philosophy of the presentation is to expose the material with a solid theoretical foundation, to concentrate on algorithms that really work in a finite-precision implementation, and to provide easy access to working algorithms. Hence, practicing engineers and scientists will also find the book to be an excellent reference. This second edition contains a substantial amount of new material: -Two new chapters on nonlinear and subband adaptive filtering; -Linearly constrained Weiner filters and LMS algorithms; -LMS algorithm behavior in fast adaptation; -Affine projection algorithms; -Derivation smoothing; -MATLAB codes for algorithms. An instructor's manual, a set of master transparencies, and the MATLAB codes for all of the algorithms described in the text are also available. Useful to both professional researchers and students, the text includes 185 problems; over 38 examples, and over 130 illustrations. It is of primary interest to those working in signal processing, communications, and circuits and systems. It will also be of interest to those working in power systems, networks, learning systems, and intelligent systems.

Author : Lino Garcia Morales
Publisher : BoD – Books on Demand
Page : 165 pages
File Size : 42,9 Mb
Release : 2013-02-20
Category : Computers
ISBN : 9789535109983

Get Book

Adaptive Filtering by Lino Garcia Morales Pdf

Adaptive filtering can be used to characterize unknown systems in time-variant environments. The main objective of this approach is to meet a difficult comprise: maximum convergence speed with maximum accuracy. Each application requires a certain approach which determines the filter structure, the cost function to minimize the estimation error, the adaptive algorithm, and other parameters; and each selection involves certain cost in computational terms, that in any case should consume less time than the time required by the application working in real-time. Theory and application are not, therefore, isolated entities but an imbricated whole that requires a holistic vision. This book collects some theoretical approaches and practical applications in different areas that support expanding of adaptive systems.