Adaptive Filters And Equalisers

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Adaptive Filters And Equalisers

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Author : Bernard Mulgrew
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Adaptive Filters And Equalisers written by Bernard Mulgrew and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.

The work presented in this text relates to research work in the general area of adaptive filter theory and practice which has been carried out at the Department of Electrical Engineering, University of Edinburgh since 1977. Much of the earlier work in the department was devoted to looking at the problems associated with the physical implementation of these structures. This text relates to research which has been undertaken since 1984 which is more involved with the theoretical development of adaptive algorithms. The text sets out to provide a coherent framework within which general adaptive algorithms for finite impulse response adaptive filters may be evaluated. It further presents one approach to the problem of finding a stable solution to the infinite impulse response adaptive filter problem. This latter objective being restricted to the communications equaliser application area. The authors are indebted to a great number of people for their help, guidance and encouragement during the course of preparing this text. We should first express our appreciation for the support given by two successive heads of department at Edinburgh, Professor J. H. Collins and Professor J. Mavor. The work reported here could not have taken place without their support and also that of many colleagues, principally Professor P. M. Grant who must share much of the responsibility for instigating this line of research at Edinburgh.

Adaptive Filters

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Author : Behrouz Farhang-Boroujeny
language : en
Publisher: John Wiley & Sons
Release Date : 2013-04-02

Adaptive Filters written by Behrouz Farhang-Boroujeny and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-02 with Technology & Engineering categories.

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.

Design Of High Frequency Integrated Analogue Filters

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Author : Yichuang Sun
language : en
Publisher: IET
Release Date : 2002-04-15

Design Of High Frequency Integrated Analogue Filters written by Yichuang Sun and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-04-15 with Technology & Engineering categories.

Sun (communication electronics, U. of Hertfordshire, UK), this volume's editor, also contributed a chapter on the architectures and design of OTA/gm-C filters. The other papers describe on-chip automatic tuning of filters, analog adaptive filters, low voltage techniques for switched-current filters, log domain filters, the MOSFET-C technique and active filters using integrated inductors. The contributors teach electrical engineering in the US, the UK, Thailand, and Canada. Annotation copyrighted by Book News, Inc., Portland, OR

Least Mean Square Adaptive Filters

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Author : Simon Haykin
language : en
Publisher: John Wiley & Sons
Release Date : 2003-09-08

Least Mean Square Adaptive Filters written by Simon Haykin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-09-08 with Technology & Engineering categories.

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.

Adaptive Filtering

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Author : Lino Garcia Morales
language : en
Publisher: BoD – Books on Demand
Release Date : 2013-02-20

Adaptive Filtering written by Lino Garcia Morales and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-20 with Computers categories.

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.

Concept Of Adaptive Filtering

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Author : Shivendra Nandan
language : en
Publisher: TSG Publications
Release Date :

Concept Of Adaptive Filtering written by Shivendra Nandan and has been published by TSG Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.

A spline adaptive filter (SAF) based nonlinear active noise control (ANC) system is proposed in this paper. The SAF consists of a linear network of adaptive weights in a cascade with an adaptive nonlinear network. The nonlinear network, in turn consists of an adaptive look-up table followed by a spline interpolation network and forms an adaptive activation function. An update rule has been derived for the proposed ANC system, which not only updates the weights of the linear network, but also updates the nature of the activation function. Linear Network is based on improvement in FxLMS algorithm. FxLMS algorithm is used because it is computationally simple like the most commonly used Least Mean Square (LMS) algorithm. In addition, it includes secondary path effects. To make the FxLMS algorithm more effective, the secondary path estimation should be more precise and accurate. The nonlinear function involved in the adaptation process is based on a spline function that can be modified during learning. The spline control points are adaptively changed using gradient-based techniques. B-splines and Catmull-Rom splines are used, because they allow imposing simple constraints on control parameters. This new kind of adaptive function is then applied to the output of a linear adaptive filter and it is used for the identification of Wiener-type nonlinear systems. In addition, we derive a simple form of the adaptation algorithm and an upper bound on the choice of the step-size. An extensive simulation study has been conducted to evaluate the noise mitigation performance of the proposed scheme and the new method has been shown to provide improved noise cancellation efficiency with a lesser computational load in comparison with other popular ANC systems.

Adaptive Filtering Applications

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Author : Lino Garcia Morales
language : en
Publisher: BoD – Books on Demand
Release Date : 2011-07-05

Adaptive Filtering Applications written by Lino Garcia Morales and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-05 with Technology & Engineering categories.

Adaptive filtering is useful in any application where the signals or the modeled system vary over time. The configuration of the system and, in particular, the position where the adaptive processor is placed generate different areas or application fields such as: prediction, system identification and modeling, equalization, cancellation of interference, etc. which are very important in many disciplines such as control systems, communications, signal processing, acoustics, voice, sound and image, etc. The book consists of noise and echo cancellation, medical applications, communications systems and others hardly joined by their heterogeneity. Each application is a case study with rigor that shows weakness/strength of the method used, assesses its suitability and suggests new forms and areas of use. The problems are becoming increasingly complex and applications must be adapted to solve them. The adaptive filters have proven to be useful in these environments of multiple input/output, variant-time behaviors, and long and complex transfer functions effectively, but fundamentally they still have to evolve. This book is a demonstration of this and a small illustration of everything that is to come.

Advances On Mathematical Modeling And Optimization With Its Applications

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Author : Gunjan Mukherjee
language : en
Publisher: CRC Press
Release Date : 2024-03-28

Advances On Mathematical Modeling And Optimization With Its Applications written by Gunjan Mukherjee and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-28 with Mathematics categories.

Advances on Mathematical Modeling and Optimization with Its Applications discusses optimization, equality, and inequality constraints and their application in the versatile optimizing domain. It further covers non-linear optimization methods such as global optimization, and gradient-based non-linear optimization, and their applications. Discusses important topics including multi-component differential equations, geometric partial differential equations, and computational neural systems Covers linear integer programming and network design problems, along with an application of the mixed integer problems Discusses constrained and unconstrained optimization, equality, and inequality constraints, and their application in the versatile optimizing domain Elucidates the application of statistical models, probability models, and transfer learning concepts Showcases the importance of multi-attribute decision modeling in the domain of image processing and soft computing The text is primarily for senior undergraduate and graduate students, and academic researchers in the fields of mathematics, statistics, and computer science.

Electrical Biosignals In Biomedical Engineering

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Author : Peter Husar
language : en
Publisher: Springer Nature
Release Date : 2023-11-07

Electrical Biosignals In Biomedical Engineering written by Peter Husar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-07 with Technology & Engineering categories.

Das grundlegende Kompendium führt in das zunehmend wichtiger werdende Thema der Biosginalverarbeitung ein. Der inhaltliche Aufbau orientiert sich an der Abfolge der diagnostischen Kette: von Sensorik, Signalverstärkung und -konditionierung über Signalabtastung und -digitalisierung, Methoden der Biosignalverarbeitung bis zu Auswertung und Diagnosevorschlag. Dabei liefert jedes Kapitel das entsprechende theoretische und methodische Wissen, behandelt Realisierungsalternativen und stellt Praxisbeispiele sowie die aktuell verfügbare Technik vor.

Adaptive Learning Methods For Nonlinear System Modeling

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Author : Danilo Comminiello
language : en
Publisher: Butterworth-Heinemann
Release Date : 2018-06-11

Adaptive Learning Methods For Nonlinear System Modeling written by Danilo Comminiello and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-11 with Technology & Engineering categories.

Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes linear models a non-optimal choice. This book mainly focuses on those methodologies for nonlinear modeling that involve any adaptive learning approaches to process data coming from an unknown nonlinear system. By learning from available data, such methods aim at estimating the nonlinearity introduced by the unknown system. In particular, the methods presented in this book are based on online learning approaches, which process the data example-by-example and allow to model even complex nonlinearities, e.g., showing time-varying and dynamic behaviors. Possible fields of applications of such algorithms includes distributed sensor networks, wireless communications, channel identification, predictive maintenance, wind prediction, network security, vehicular networks, active noise control, information forensics and security, tracking control in mobile robots, power systems, and nonlinear modeling in big data, among many others. This book serves as a crucial resource for researchers, PhD and post-graduate students working in the areas of machine learning, signal processing, adaptive filtering, nonlinear control, system identification, cooperative systems, computational intelligence. This book may be also of interest to the industry market and practitioners working with a wide variety of nonlinear systems. - Presents the key trends and future perspectives in the field of nonlinear signal processing and adaptive learning. - Introduces novel solutions and improvements over the state-of-the-art methods in the very exciting area of online and adaptive nonlinear identification. - Helps readers understand important methods that are effective in nonlinear system modelling, suggesting the right methodology to address particular issues.