Adaptive Filtering Under Minimum Mean P Power Error Criterion

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Adaptive Filtering Under Minimum Mean p-Power Error Criterion

Author : Wentao Ma
Publisher : CRC Press
ISBN 13 : 1040015921
Total Pages : 389 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Adaptive Filtering Under Minimum Mean p-Power Error Criterion by : Wentao Ma

Download or read book Adaptive Filtering Under Minimum Mean p-Power Error Criterion written by Wentao Ma and published by CRC Press. This book was released on 2024-05-31 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive filtering still receives attention in engineering as the use of the adaptive filter provides improved performance over the use of a fixed filter under the time-varying and unknown statistics environments. This application evolved communications, signal processing, seismology, mechanical design, and control engineering. The most popular optimization criterion in adaptive filtering is the well-known minimum mean square error (MMSE) criterion, which is, however, only optimal when the signals involved are Gaussian-distributed. Therefore, many "optimal solutions" under MMSE are not optimal. As an extension of the traditional MMSE, the minimum mean p-power error (MMPE) criterion has shown superior performance in many applications of adaptive filtering. This book aims to provide a comprehensive introduction of the MMPE and related adaptive filtering algorithms, which will become an important reference for researchers and practitioners in this application area. The book is geared to senior undergraduates with a basic understanding of linear algebra and statistics, graduate students, or practitioners with experience in adaptive signal processing. Key Features: Provides a systematic description of the MMPE criterion. Many adaptive filtering algorithms under MMPE, including linear and nonlinear filters, will be introduced. Extensive illustrative examples are included to demonstrate the results.

Adaptive Filtering Under Minimum Mean p-Power Error Criterion

Author : Wentao Ma
Publisher : CRC Press
ISBN 13 : 1040015956
Total Pages : 372 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Adaptive Filtering Under Minimum Mean p-Power Error Criterion by : Wentao Ma

Download or read book Adaptive Filtering Under Minimum Mean p-Power Error Criterion written by Wentao Ma and published by CRC Press. This book was released on 2024-05-31 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive filtering still receives attention in engineering as the use of the adaptive filter provides improved performance over the use of a fixed filter under the time-varying and unknown statistics environments. This application evolved communications, signal processing, seismology, mechanical design, and control engineering. The most popular optimization criterion in adaptive filtering is the well-known minimum mean square error (MMSE) criterion, which is, however, only optimal when the signals involved are Gaussian-distributed. Therefore, many "optimal solutions" under MMSE are not optimal. As an extension of the traditional MMSE, the minimum mean p-power error (MMPE) criterion has shown superior performance in many applications of adaptive filtering. This book aims to provide a comprehensive introduction of the MMPE and related adaptive filtering algorithms, which will become an important reference for researchers and practitioners in this application area. The book is geared to senior undergraduates with a basic understanding of linear algebra and statistics, graduate students, or practitioners with experience in adaptive signal processing. Key Features: Provides a systematic description of the MMPE criterion. Many adaptive filtering algorithms under MMPE, including linear and nonlinear filters, will be introduced. Extensive illustrative examples are included to demonstrate the results.

System Parameter Identification

Author : Badong Chen
Publisher : Newnes
ISBN 13 : 0124045952
Total Pages : 266 pages
Book Rating : 4.1/5 (24 download)

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Book Synopsis System Parameter Identification by : Badong Chen

Download or read book System Parameter Identification written by Badong Chen and published by Newnes. This book was released on 2013-07-17 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, criterion functions based on information theoretic measures (entropy, mutual information, information divergence) have attracted attention and become an emerging area of study in signal processing and system identification domain. This book presents a systematic framework for system identification and information processing, investigating system identification from an information theory point of view. The book is divided into six chapters, which cover the information needed to understand the theory and application of system parameter identification. The authors’ research provides a base for the book, but it incorporates the results from the latest international research publications. Named a 2013 Notable Computer Book for Information Systems by Computing Reviews One of the first books to present system parameter identification with information theoretic criteria so readers can track the latest developments Contains numerous illustrative examples to help the reader grasp basic methods

Communications and Networking

Author : Xingang Liu
Publisher : Springer
ISBN 13 : 3030061612
Total Pages : 743 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Communications and Networking by : Xingang Liu

Download or read book Communications and Networking written by Xingang Liu and published by Springer. This book was released on 2019-01-15 with total page 743 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book constitutes the refereed proceedings of the 13th EAI International Conference on Communications and Networking, held in October 2018 in Chengdu, China. The 71 papers presented were carefully selected from 114 submissions. The papers are organized in topical sections on wireless communications and networking, next generation WLAN, big data networks, cloud communications and networking, ad hoc and sensor networks, satellite and space communications and networking, optical communications and networking, information and coding theory, multimedia communications and smart networking, green communications and computing, signal processing for communications, network and information security, machine-to-machine and IoT, communication QoS, reliability and modeling, cognitive radio and networks, smart internet of things modeling, pattern recognition and image signal processing, digital audio and video signal processing, antenna and microwave communications, radar imaging and target recognition, and video coding and image signal processing.

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.

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.

Adaptive Filtering

Author : Wenping Cao
Publisher : BoD – Books on Demand
ISBN 13 : 1839623772
Total Pages : 154 pages
Book Rating : 4.8/5 (396 download)

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Book Synopsis Adaptive Filtering by : Wenping Cao

Download or read book Adaptive Filtering written by Wenping Cao and published by BoD – Books on Demand. This book was released on 2021-10-20 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Active filters are key technologies in applications such as telecommunications, advanced control, smart grids, and green transport. This book provides an update of the latest technological progress in signal processing and adaptive filters, with a focus on Kalman filters and applications. It illustrates fundamentals and guides filter design for specific applications, primarily for graduate students, academics, and industrial engineers who are interested in the theoretical, experimental, and design aspects of active filter technologies.

Communications and Networking

Author : Honghao Gao
Publisher : Springer Nature
ISBN 13 : 3030411176
Total Pages : 453 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Communications and Networking by : Honghao Gao

Download or read book Communications and Networking written by Honghao Gao and published by Springer Nature. This book was released on 2020-02-26 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set constitutes the refereed proceedings of the 14th EAI International Conference on Communications and Networking, ChinaCom 2019, held in November/December 2019 in Shanghai, China. The 81 papers presented were carefully selected from 162 submissions. The papers are organized in topical sections on Internet of Things (IoT), antenna, microwave and cellular communication, wireless communications and networking, network and information security, communication QoS, reliability and modeling, pattern recognition and image signal processing, and information processing.

Kalman Filtering Under Information Theoretic Criteria

Author : Badong Chen
Publisher : Springer Nature
ISBN 13 : 3031337646
Total Pages : 304 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Kalman Filtering Under Information Theoretic Criteria by : Badong Chen

Download or read book Kalman Filtering Under Information Theoretic Criteria written by Badong Chen and published by Springer Nature. This book was released on 2023-09-19 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides several efficient Kalman filters (linear or nonlinear) under information theoretic criteria. They achieve excellent performance in complicated non-Gaussian noises with low computation complexity and have great practical application potential. The book combines all these perspectives and results in a single resource for students and practitioners in relevant application fields. Each chapter starts with a brief review of fundamentals, presents the material focused on the most important properties and evaluates comparatively the models discussing free parameters and their effect on the results. Proofs are provided at the end of each chapter. The book is geared to senior undergraduates with a basic understanding of linear algebra, signal processing and statistics, as well as graduate students or practitioners with experience in Kalman filtering.

Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023)

Author : Andrew D. Ball
Publisher : Springer Nature
ISBN 13 : 303149413X
Total Pages : 1219 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) by : Andrew D. Ball

Download or read book Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) written by Andrew D. Ball and published by Springer Nature. This book was released on with total page 1219 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Modeling and Control of Vibration in Mechanical Systems

Author : Chunling Du
Publisher : CRC Press
ISBN 13 : 1351833952
Total Pages : 220 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Modeling and Control of Vibration in Mechanical Systems by : Chunling Du

Download or read book Modeling and Control of Vibration in Mechanical Systems written by Chunling Du and published by CRC Press. This book was released on 2018-09-03 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the ox carts and pottery wheels the spacecrafts and disk drives, efficiency and quality has always been dependent on the engineer’s ability to anticipate and control the effects of vibration. And while progress in negating the noise, wear, and inefficiency caused by vibration has been made, more is needed. Modeling and Control of Vibration in Mechanical Systems answers the essential needs of practitioners in systems and control with the most comprehensive resource available on the subject. Written as a reference for those working in high precision systems, this uniquely accessible volume: Differentiates between kinds of vibration and their various characteristics and effects Offers a close-up look at mechanical actuation systems that are achieving remarkably high precision positioning performance Includes techniques for rejecting vibrations of different frequency ranges Covers the theoretical developments and principles of control design with detail elaborate enough that readers will be able to apply the techniques with the help of MATLAB® Details a wealth of practical working examples as well as a number of simulation and experimental results with comprehensive evaluations The modern world’s ever-growing spectra of sophisticated engineering systems such as hard disk drives, aeronautic systems, and manufacturing systems have little tolerance for unanticipated vibration of even the slightest magnitude. Accordingly, vibration control continues to draw intensive focus from top control engineers and modelers. This resource demonstrates the remarkable results of that focus to date, and most importantly gives today’s researchers the technology that they need to build upon into the future. Chunling Du is currently researching modeling and advanced servo control of hard disk drives at the Data Storage Institute in Singapore. Lihua Xie is the Director of the Centre for Intelligent Machines and a professor at Nanyang Technological University in Singapore.

Subband Adaptive Filtering

Author : Kong-Aik Lee
Publisher : John Wiley & Sons
ISBN 13 : 9780470745984
Total Pages : 344 pages
Book Rating : 4.7/5 (459 download)

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Book Synopsis Subband Adaptive Filtering by : Kong-Aik Lee

Download or read book Subband Adaptive Filtering written by Kong-Aik Lee and published by John Wiley & Sons. This book was released on 2009-07-06 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Kernel Adaptive Filtering

Author : Weifeng Liu
Publisher : Wiley
ISBN 13 : 9780470447536
Total Pages : 240 pages
Book Rating : 4.4/5 (475 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 Wiley. This book was released on 2010-03-01 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Online learning from a signal processing perspective There is increased interest in kernel learning algorithms inneural networks and a growing need for nonlinear adaptivealgorithms in advanced signal processing, communications, andcontrols. Kernel Adaptive Filtering is the first book topresent a comprehensive, unifying introduction to online learningalgorithms in reproducing kernel Hilbert spaces. Based on researchbeing conducted in the Computational Neuro-Engineering Laboratoryat the University of Florida and in the Cognitive SystemsLaboratory at McMaster University, Ontario, Canada, this uniqueresource elevates the adaptive filtering theory to a new level,presenting a new design methodology of nonlinear adaptivefilters. Covers the kernel least mean squares algorithm, kernel affineprojection algorithms, the kernel recursive least squaresalgorithm, the theory of Gaussian process regression, and theextended kernel recursive least squares algorithm Presents a powerful model-selection method called maximummarginal likelihood Addresses the principal bottleneck of kernel adaptivefilters—their growing structure Features twelve computer-oriented experiments to reinforce theconcepts, with MATLAB codes downloadable from the authors' Website Concludes each chapter with a summary of the state of the artand potential future directions for original research Kernel Adaptive Filtering is ideal for engineers,computer scientists, and graduate students interested in nonlinearadaptive systems for online applications (applications where thedata stream arrives one sample at a time and incremental optimalsolutions are desirable). It is also a useful guide for those wholook for nonlinear adaptive filtering methodologies to solvepractical problems.

Active Control of Noise and Vibration

Author : Colin Hansen
Publisher : CRC Press
ISBN 13 : 9780419193906
Total Pages : 1292 pages
Book Rating : 4.1/5 (939 download)

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Book Synopsis Active Control of Noise and Vibration by : Colin Hansen

Download or read book Active Control of Noise and Vibration written by Colin Hansen and published by CRC Press. This book was released on 1996-11-21 with total page 1292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This major work is the first to treat the active control of both sound and vibration in a unified way. It outlines the fundamental concepts, explains how a reliable and stable system can be designed and implemented, and details the pitfalls . It covers sound in ducts, sound radiation, sound transmission into enclosures, structural vibration and isolation, electronic control system design, and sensors and actuators.

IEEE International Conference on Intelligent Transportation Systems Proceedings

Author :
Publisher :
ISBN 13 :
Total Pages : 930 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis IEEE International Conference on Intelligent Transportation Systems Proceedings by :

Download or read book IEEE International Conference on Intelligent Transportation Systems Proceedings written by and published by . This book was released on 2003 with total page 930 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Scientific and Technical Aerospace Reports

Author :
Publisher :
ISBN 13 :
Total Pages : 790 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Scientific and Technical Aerospace Reports by :

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1978 with total page 790 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.

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.