Subband Adaptive Filtering

Subband Adaptive Filtering PDF Author: Kong-Aik Lee
Publisher: John Wiley & Sons
ISBN: 9780470745984
Category : Science
Languages : en
Pages : 344

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Book Description
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.

Subband Adaptive Filtering

Subband Adaptive Filtering PDF Author: Kong-Aik Lee
Publisher: John Wiley & Sons
ISBN: 9780470745984
Category : Science
Languages : en
Pages : 344

Get Book Here

Book Description
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.

On Adaptive Filtering in Oversampled Subbands

On Adaptive Filtering in Oversampled Subbands PDF Author: Stephan Weiss
Publisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 216

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Book Description


Adaptive Filtering

Adaptive Filtering PDF Author: Paulo S. R. Diniz
Publisher: Springer Science & Business Media
ISBN: 0387686061
Category : Technology & Engineering
Languages : en
Pages : 636

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Book Description
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.

Adaptive Filtering

Adaptive Filtering PDF Author: Paulo Sergio Ramirez Diniz
Publisher: Springer Science & Business Media
ISBN: 9781402071256
Category : Adaptive filters
Languages : en
Pages : 594

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Book Description
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.

Adaptive Filtering in Subbands

Adaptive Filtering in Subbands PDF Author: V. Srinivasa Somayazulu
Publisher:
ISBN:
Category :
Languages : en
Pages : 372

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Book Description


Adaptive Filters

Adaptive Filters PDF Author: Behrouz Farhang-Boroujeny
Publisher: John Wiley & Sons
ISBN: 111859133X
Category : Technology & Engineering
Languages : en
Pages : 800

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Book Description
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.

Adaptive Filtering in Subbands

Adaptive Filtering in Subbands PDF Author: Zhongjun Wang
Publisher:
ISBN:
Category : Adaptive filters
Languages : en
Pages : 244

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Book Description


Multirate Adaptive Filtering in Subbands

Multirate Adaptive Filtering in Subbands PDF Author: Jonathan Henry Gross
Publisher:
ISBN:
Category : Adaptive filters
Languages : en
Pages : 168

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Book Description


On Adaptive Filtering in Oversampled Subbands

On Adaptive Filtering in Oversampled Subbands PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description


Theory and Design of Adaptive Filters

Theory and Design of Adaptive Filters PDF Author: John R. Treichler
Publisher: Wiley-Interscience
ISBN:
Category : Mathematics
Languages : en
Pages : 376

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Book Description
A comprehensive compilation of adaptive filtering concepts, algorithm forms, behavioral insights, and application guidelines useful for the engineer interested in designing appropriate adaptive filters for various applications and for students needing a cohesive pedagogy for initiation of basic research in adaptive theory. The analysis and design of three basic classes of adaptive filters are presented: adaptive finite-impulse-response (FIR) filters; adaptive infinite-impulse-response (IRR) filters; and adaptive property restoring filters. For the widely used FIR filters, the book offers the most popular analytical tools and distills a tutorial collection of insightful design guidelines of proven utility. For the more recently developed filters, it focuses on emerging theoretical foundations and suggested applications. The material is supplemented with listings of FORTRAN codes for basic algorithms and a real-time solution to one adaptive FIR filter problem using a Texas Instruments signal processing chip.