Efficient Nonlinear Adaptive Filters

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Efficient Nonlinear Adaptive Filters

Author : Haiquan Zhao
Publisher : Springer Nature
ISBN 13 : 3031208188
Total Pages : 271 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Efficient Nonlinear Adaptive Filters by : Haiquan Zhao

Download or read book Efficient Nonlinear Adaptive Filters written by Haiquan Zhao and published by Springer Nature. This book was released on 2023-02-10 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the design, analysis, and application of nonlinear adaptive filters with the goal of improving efficient performance (ie the convergence speed, steady-state error, and computational complexity). The authors present a nonlinear adaptive filter, which is an important part of nonlinear system and digital signal processing and can be applied to diverse fields such as communications, control power system, radar sonar, etc. The authors also present an efficient nonlinear filter model and robust adaptive filtering algorithm based on the local cost function of optimal criterion to overcome non-Gaussian noise interference. The authors show how these achievements provide new theories and methods for robust adaptive filtering of nonlinear and non-Gaussian systems. The book is written for the scientist and engineer who are not necessarily an expert in the specific nonlinear filtering field but who want to learn about the current research and application. The book is also written to accompany a graduate/PhD course in the area of nonlinear system and adaptive signal processing.

Efficient Nonlinear Adaptive Filtering Using the Wiener-Hammerstein System Model

Author : Bryan Scott Nollett
Publisher :
ISBN 13 :
Total Pages : 128 pages
Book Rating : 4.:/5 (523 download)

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Book Synopsis Efficient Nonlinear Adaptive Filtering Using the Wiener-Hammerstein System Model by : Bryan Scott Nollett

Download or read book Efficient Nonlinear Adaptive Filtering Using the Wiener-Hammerstein System Model written by Bryan Scott Nollett and published by . This book was released on 2002 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Complex Valued Nonlinear Adaptive Filters

Author : Danilo P. Mandic
Publisher : John Wiley & Sons
ISBN 13 : 0470742631
Total Pages : 344 pages
Book Rating : 4.4/5 (77 download)

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Book Synopsis Complex Valued Nonlinear Adaptive Filters by : Danilo P. Mandic

Download or read book Complex Valued Nonlinear Adaptive Filters written by Danilo P. Mandic and published by John Wiley & Sons. This book was released on 2009-04-20 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Adaptive Learning Methods for Nonlinear System Modeling

Author : Danilo Comminiello
Publisher : Butterworth-Heinemann
ISBN 13 : 0128129778
Total Pages : 390 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Adaptive Learning Methods for Nonlinear System Modeling by : Danilo Comminiello

Download or read book Adaptive Learning Methods for Nonlinear System Modeling written by Danilo Comminiello and published by Butterworth-Heinemann. This book was released on 2018-06-11 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Principles of Adaptive Filters and Self-learning Systems

Author : Anthony Zaknich
Publisher : Springer Science & Business Media
ISBN 13 : 9781852339845
Total Pages : 412 pages
Book Rating : 4.3/5 (398 download)

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Book Synopsis Principles of Adaptive Filters and Self-learning Systems by : Anthony Zaknich

Download or read book Principles of Adaptive Filters and Self-learning Systems written by Anthony Zaknich and published by Springer Science & Business Media. This book was released on 2005-04-25 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teaches students about classical and nonclassical adaptive systems within one pair of covers Helps tutors with time-saving course plans, ready-made practical assignments and examination guidance The recently developed "practical sub-space adaptive filter" allows the reader to combine any set of classical and/or non-classical adaptive systems to form a powerful technology for solving complex nonlinear problems

Kernel Adaptive Filtering

Author : Weifeng Liu
Publisher : John Wiley & Sons
ISBN 13 : 1118211219
Total Pages : 167 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Kernel Adaptive Filtering by : Weifeng Liu

Download or read book Kernel Adaptive Filtering written by Weifeng Liu and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Concept of Adaptive Filtering

Author : Shivendra Nandan
Publisher : TSG Publications
ISBN 13 :
Total Pages : 176 pages
Book Rating : 4./5 ( download)

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Book Synopsis Concept of Adaptive Filtering by : Shivendra Nandan

Download or read book Concept of Adaptive Filtering written by Shivendra Nandan and published by TSG Publications. This book was released on with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Paulo S. R. Diniz
Publisher : Springer Nature
ISBN 13 : 3030290573
Total Pages : 495 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Adaptive Filtering by : Paulo S. R. Diniz

Download or read book Adaptive Filtering written by Paulo S. R. Diniz and published by Springer Nature. This book was released on 2019-11-28 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the fifth edition of this textbook, author Paulo S.R. Diniz presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual implementation. Algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Examples address up-to-date problems drawn from actual applications. Several chapters are expanded and a new chapter ‘Kalman Filtering’ is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters. A MATLAB package is provided so the reader can solve new problems and test algorithms. The book also offers easy access to working algorithms for practicing engineers.

Development of Some Novel Nonlinear and Adaptive Digital Image Filters for Efficient Noise Suppression

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (697 download)

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Book Synopsis Development of Some Novel Nonlinear and Adaptive Digital Image Filters for Efficient Noise Suppression by :

Download or read book Development of Some Novel Nonlinear and Adaptive Digital Image Filters for Efficient Noise Suppression written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Some nonlinear and adaptive digital image filtering algorithms have been developed in this thesis to suppress additive white Gaussian noise (AWGN), bipolar fixed-valued impulse, also called salt and pepper noise (SPN), random-valued impulse noise (RVIN) and their combinations quite effectively. The present state-of-art technology offers high quality sensors, cameras, electronic circuitry: application specific integrated circuits (ASIC), system on chip (SOC), etc., and high quality communication channels. Therefore, the noise level in images has been reduced drastically. In literature, many efficient nonlinear image filters are found that perform well under high noise conditions. But their performance is not so good under low noise conditions as compared to the extremely high computational complexity involved therein. Thus, it is felt that there is sufficient scope to investigate and develop quite efficient but simple algorithms to suppress low-power noise in an image. When ...

Least-Mean-Square Adaptive Filters

Author : Simon Haykin
Publisher : John Wiley & Sons
ISBN 13 : 9780471215707
Total Pages : 516 pages
Book Rating : 4.2/5 (157 download)

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Book Synopsis Least-Mean-Square Adaptive Filters by : Simon Haykin

Download or read book Least-Mean-Square Adaptive Filters written by Simon Haykin and published by John Wiley & Sons. This book was released on 2003-09-08 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Nonlinear Control and Filtering Using Differential Flatness Approaches

Author : Gerasimos G. Rigatos
Publisher : Springer
ISBN 13 : 3319164201
Total Pages : 755 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Nonlinear Control and Filtering Using Differential Flatness Approaches by : Gerasimos G. Rigatos

Download or read book Nonlinear Control and Filtering Using Differential Flatness Approaches written by Gerasimos G. Rigatos and published by Springer. This book was released on 2015-06-05 with total page 755 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph presents recent advances in differential flatness theory and analyzes its use for nonlinear control and estimation. It shows how differential flatness theory can provide solutions to complicated control problems, such as those appearing in highly nonlinear multivariable systems and distributed-parameter systems. Furthermore, it shows that differential flatness theory makes it possible to perform filtering and state estimation for a wide class of nonlinear dynamical systems and provides several descriptive test cases. The book focuses on the design of nonlinear adaptive controllers and nonlinear filters, using exact linearization based on differential flatness theory. The adaptive controllers obtained can be applied to a wide class of nonlinear systems with unknown dynamics, and assure reliable functioning of the control loop under uncertainty and varying operating conditions. The filters obtained outperform other nonlinear filters in terms of accuracy of estimation and computation speed. The book presents a series of application examples to confirm the efficiency of the proposed nonlinear filtering and adaptive control schemes for various electromechanical systems. These include: · industrial robots; · mobile robots and autonomous vehicles; · electric power generation; · electric motors and actuators; · power electronics; · internal combustion engines; · distributed-parameter systems; and · communication systems. Differential Flatness Approaches to Nonlinear Control and Filtering will be a useful reference for academic researchers studying advanced problems in nonlinear control and nonlinear dynamics, and for engineers working on control applications in electromechanical systems.

Information Technology and Applications

Author : Xiaolong Li
Publisher : CRC Press
ISBN 13 : 1315687216
Total Pages : 400 pages
Book Rating : 4.3/5 (156 download)

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Book Synopsis Information Technology and Applications by : Xiaolong Li

Download or read book Information Technology and Applications written by Xiaolong Li and published by CRC Press. This book was released on 2015-04-07 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information Technology (IT) is the application of computers and telecommunications equipment to store, retrieve, transmit and manipulate data, often in the context of a business or other enterprise. IT has become one of the most fundamental technologies in today‘s social life, and there are many unsolved issues related to IT and its applications.Th

Adaptive Filters

Author : Ali H. Sayed
Publisher : John Wiley & Sons
ISBN 13 : 1118210840
Total Pages : 1295 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Adaptive Filters by : Ali H. Sayed

Download or read book Adaptive Filters written by Ali H. Sayed and published by John Wiley & Sons. This book was released on 2011-10-11 with total page 1295 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Adaptive Filtering

Author : Paulo Sergio Ramirez Diniz
Publisher : Springer Science & Business Media
ISBN 13 : 9781402071256
Total Pages : 594 pages
Book Rating : 4.0/5 (712 download)

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Book Synopsis Adaptive Filtering by : Paulo Sergio Ramirez Diniz

Download or read book Adaptive Filtering written by Paulo Sergio Ramirez Diniz and published by Springer Science & Business Media. This book was released on 2002 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Role of Edge Analytics in Sustainable Smart City Development

Author : G. R. Kanagachidambaresan
Publisher : John Wiley & Sons
ISBN 13 : 1119681308
Total Pages : 352 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Role of Edge Analytics in Sustainable Smart City Development by : G. R. Kanagachidambaresan

Download or read book Role of Edge Analytics in Sustainable Smart City Development written by G. R. Kanagachidambaresan and published by John Wiley & Sons. This book was released on 2020-07-29 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Efficient Single Board Computers (SBCs) and advanced VLSI systems have resulted in edge analytics and faster decision making. The QoS parameters like energy, delay, reliability, security, and throughput should be improved on seeking better intelligent expert systems. The resource constraints in the Edge devices, challenges the researchers to meet the required QoS. Since these devices and components work in a remote unattended environment, an optimum methodology to improve its lifetime has become mandatory. Continuous monitoring of events is mandatory to avoid tragic situations; it can only be enabled by providing high QoS. The applications of IoT in digital twin development, health care, traffic analysis, home surveillance, intelligent agriculture monitoring, defense and all common day to day activities have resulted in pioneering embedded devices, which can offer high computational facility without much latency and delay. The book address industrial problems in designing expert system and IoT applications. It provides novel survey and case study report on recent industrial approach towards Smart City development.

Adaptive Filtering Applications

Author : Lino Garcia Morales
Publisher : IntechOpen
ISBN 13 : 9789533073064
Total Pages : 412 pages
Book Rating : 4.0/5 (73 download)

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Book Synopsis Adaptive Filtering Applications by : Lino Garcia Morales

Download or read book Adaptive Filtering Applications written by Lino Garcia Morales and published by IntechOpen. This book was released on 2011-07-05 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Efficiency and Scalability Methods for Computational Intellect

Author : Igelnik, Boris
Publisher : IGI Global
ISBN 13 : 1466639431
Total Pages : 370 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Efficiency and Scalability Methods for Computational Intellect by : Igelnik, Boris

Download or read book Efficiency and Scalability Methods for Computational Intellect written by Igelnik, Boris and published by IGI Global. This book was released on 2013-04-30 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational modeling and simulation has developed and expanded into a diverse range of fields such as digital signal processing, image processing, robotics, systems biology, and many more; enhancing the need for a diversifying problem solving applications in this area. Efficiency and Scalability Methods for Computational Intellect presents various theories and methods for approaching the problem of modeling and simulating intellect in order to target computation efficiency and scalability of proposed methods. Researchers, instructors, and graduate students will benefit from this current research and will in turn be able to apply the knowledge in an effective manner to gain an understanding of how to improve this field.