Adaptive Signal Models

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Adaptive Signal Models

Author : Michael M. Goodwin
Publisher : Springer Science & Business Media
ISBN 13 : 1441986286
Total Pages : 259 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Adaptive Signal Models by : Michael M. Goodwin

Download or read book Adaptive Signal Models written by Michael M. Goodwin and published by Springer Science & Business Media. This book was released on 2012-09-10 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Signal Models: Theory, Algorithms and Audio Applications presents methods for deriving mathematical models of natural signals. The introduction covers the fundamentals of analysis-synthesis systems and signal representations. Some of the topics in the introduction include perfect and near-perfect reconstruction, the distinction between parametric and nonparametric methods, the role of compaction in signal modeling, basic and overcomplete signal expansions, and time-frequency resolution issues. These topics arise throughout the book as do a number of other topics such as filter banks and multiresolution. The second chapter gives a detailed development of the sinusoidal model as a parametric extension of the short-time Fourier transform. This leads to multiresolution sinusoidal modeling techniques in Chapter Three, where wavelet-like approaches are merged with the sinusoidal model to yield improved models. In Chapter Four, the analysis-synthesis residual is considered; for realistic synthesis, the residual must be separately modeled after coherent components (such as sinusoids) are removed. The residual modeling approach is based on psychoacoustically motivated nonuniform filter banks. Chapter Five deals with pitch-synchronous versions of both the wavelet and the Fourier transform; these allow for compact models of pseudo-periodic signals. Chapter Six discusses recent algorithms for deriving signal representations based on time-frequency atoms; primarily, the matching pursuit algorithm is reviewed and extended. The signal models discussed in the book are compact, adaptive, parametric, time-frequency representations that are useful for analysis, coding, modification, and synthesis of natural signals such as audio. The models are all interpreted as methods for decomposing a signal in terms of fundamental time-frequency atoms; these interpretations, as well as the adaptive and parametric natures of the models, serve to link the various methods dealt with in the text. Adaptive Signal Models: Theory, Algorithms and Audio Applications serves as an excellent reference for researchers of signal processing and may be used as a text for advanced courses on the topic.

Adaptive Signal Processing

Author : Widrow
Publisher : Pearson Education India
ISBN 13 : 9788131705322
Total Pages : 496 pages
Book Rating : 4.7/5 (53 download)

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Book Synopsis Adaptive Signal Processing by : Widrow

Download or read book Adaptive Signal Processing written by Widrow and published by Pearson Education India. This book was released on 2016 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical and Adaptive Signal Processing

Author : Dimitris G. Manolakis
Publisher : Artech House Publishers
ISBN 13 :
Total Pages : 824 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Statistical and Adaptive Signal Processing by : Dimitris G. Manolakis

Download or read book Statistical and Adaptive Signal Processing written by Dimitris G. Manolakis and published by Artech House Publishers. This book was released on 2005 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: This authoritative volume on statistical and adaptive signal processing offers you a unified, comprehensive and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. Packed with over 3,000 equations and more than 300 illustrations, this unique resource provides you with balanced coverage of implementation issues, applications, and theory, making it a smart choice for professional engineers and students alike.

Fundamentals of Adaptive Signal Processing

Author : Aurelio Uncini
Publisher : Springer
ISBN 13 : 3319028073
Total Pages : 704 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Fundamentals of Adaptive Signal Processing by : Aurelio Uncini

Download or read book Fundamentals of Adaptive Signal Processing written by Aurelio Uncini and published by Springer. This book was released on 2014-12-30 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an accessible guide to adaptive signal processing methods that equips the reader with advanced theoretical and practical tools for the study and development of circuit structures and provides robust algorithms relevant to a wide variety of application scenarios. Examples include multimodal and multimedia communications, the biological and biomedical fields, economic models, environmental sciences, acoustics, telecommunications, remote sensing, monitoring and in general, the modeling and prediction of complex physical phenomena. The reader will learn not only how to design and implement the algorithms but also how to evaluate their performance for specific applications utilizing the tools provided. While using a simple mathematical language, the employed approach is very rigorous. The text will be of value both for research purposes and for courses of study.

Adaptive Nonlinear System Identification

Author : Tokunbo Ogunfunmi
Publisher : Springer Science & Business Media
ISBN 13 : 0387686304
Total Pages : 232 pages
Book Rating : 4.3/5 (876 download)

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Book Synopsis Adaptive Nonlinear System Identification by : Tokunbo Ogunfunmi

Download or read book Adaptive Nonlinear System Identification written by Tokunbo Ogunfunmi and published by Springer Science & Business Media. This book was released on 2007-09-05 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on System Identification applications of the adaptive methods presented. but which can also be applied to other applications of adaptive nonlinear processes. Covers recent research results in the area of adaptive nonlinear system identification from the authors and other researchers in the field.

Adaptive Signal Processing

Author : Tülay Adali
Publisher : John Wiley & Sons
ISBN 13 : 0470575743
Total Pages : 428 pages
Book Rating : 4.4/5 (75 download)

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Book Synopsis Adaptive Signal Processing by : Tülay Adali

Download or read book Adaptive Signal Processing written by Tülay Adali and published by John Wiley & Sons. This book was released on 2010-06-25 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leading experts present the latest research results in adaptive signal processing Recent developments in signal processing have made it clear that significant performance gains can be achieved beyond those achievable using standard adaptive filtering approaches. Adaptive Signal Processing presents the next generation of algorithms that will produce these desired results, with an emphasis on important applications and theoretical advancements. This highly unique resource brings together leading authorities in the field writing on the key topics of significance, each at the cutting edge of its own area of specialty. It begins by addressing the problem of optimization in the complex domain, fully developing a framework that enables taking full advantage of the power of complex-valued processing. Then, the challenges of multichannel processing of complex-valued signals are explored. This comprehensive volume goes on to cover Turbo processing, tracking in the subspace domain, nonlinear sequential state estimation, and speech-bandwidth extension. Examines the seven most important topics in adaptive filtering that will define the next-generation adaptive filtering solutions Introduces the powerful adaptive signal processing methods developed within the last ten years to account for the characteristics of real-life data: non-Gaussianity, non-circularity, non-stationarity, and non-linearity Features self-contained chapters, numerous examples to clarify concepts, and end-of-chapter problems to reinforce understanding of the material Contains contributions from acknowledged leaders in the field Adaptive Signal Processing is an invaluable tool for graduate students, researchers, and practitioners working in the areas of signal processing, communications, controls, radar, sonar, and biomedical engineering.

Adaptive Signal Processing

Author : Jacob Benesty
Publisher : Springer Science & Business Media
ISBN 13 : 3662110288
Total Pages : 356 pages
Book Rating : 4.6/5 (621 download)

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Book Synopsis Adaptive Signal Processing by : Jacob Benesty

Download or read book Adaptive Signal Processing written by Jacob Benesty and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: For the first time, a reference on the most relevant applications of adaptive filtering techniques. Top researchers in the field contributed chapters addressing applications in acoustics, speech, wireless and networking, where research is still very active and open.

Signals and Boundaries

Author : John H. Holland
Publisher : MIT Press
ISBN 13 : 026230497X
Total Pages : 317 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Signals and Boundaries by : John H. Holland

Download or read book Signals and Boundaries written by John H. Holland and published by MIT Press. This book was released on 2012-07-13 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overarching framework for comparing and steering complex adaptive systems is developed through understanding the mechanisms that generate their intricate signal/boundary hierarchies. Complex adaptive systems (cas), including ecosystems, governments, biological cells, and markets, are characterized by intricate hierarchical arrangements of boundaries and signals. In ecosystems, for example, niches act as semi-permeable boundaries, and smells and visual patterns serve as signals; governments have departmental hierarchies with memoranda acting as signals; and so it is with other cas. Despite a wealth of data and descriptions concerning different cas, there remain many unanswered questions about "steering" these systems. In Signals and Boundaries, John Holland argues that understanding the origin of the intricate signal/border hierarchies of these systems is the key to answering such questions. He develops an overarching framework for comparing and steering cas through the mechanisms that generate their signal/boundary hierarchies. Holland lays out a path for developing the framework that emphasizes agents, niches, theory, and mathematical models. He discusses, among other topics, theory construction; signal-processing agents; networks as representations of signal/boundary interaction; adaptation; recombination and reproduction; the use of tagged urn models (adapted from elementary probability theory) to represent boundary hierarchies; finitely generated systems as a way to tie the models examined into a single framework; the framework itself, illustrated by a simple finitely generated version of the development of a multi-celled organism; and Markov processes.

Adaptive Blind Signal and Image Processing

Author : Andrzej Cichocki
Publisher : John Wiley & Sons
ISBN 13 : 9780471607915
Total Pages : 596 pages
Book Rating : 4.6/5 (79 download)

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Book Synopsis Adaptive Blind Signal and Image Processing by : Andrzej Cichocki

Download or read book Adaptive Blind Signal and Image Processing written by Andrzej Cichocki and published by John Wiley & Sons. This book was released on 2002-06-14 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: Im Mittelpunkt dieses modernen und spezialisierten Bandes stehen adaptive Strukturen und unüberwachte Lernalgorithmen, besonders im Hinblick auf effektive Computersimulationsprogramme. Anschauliche Illustrationen und viele Beispiele sowie eine interaktive CD-ROM ergänzen den Text.

Adaptive Processing of Brain Signals

Author : Saeid Sanei
Publisher : John Wiley & Sons
ISBN 13 : 1118622146
Total Pages : 471 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Adaptive Processing of Brain Signals by : Saeid Sanei

Download or read book Adaptive Processing of Brain Signals written by Saeid Sanei and published by John Wiley & Sons. This book was released on 2013-05-28 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the field of adaptive learning and processing is extended to arguably one of its most important contexts which is the understanding and analysis of brain signals. No attempt is made to comment on physiological aspects of brain activity; instead, signal processing methods are developed and used to assist clinical findings. Recent developments in detection, estimation and separation of diagnostic cues from different modality neuroimaging systems are discussed. These include constrained nonlinear signal processing techniques which incorporate sparsity, nonstationarity, multimodal data, and multiway techniques. Key features: Covers advanced and adaptive signal processing techniques for the processing of electroencephalography (EEG) and magneto-encephalography (MEG) signals, and their correlation to the corresponding functional magnetic resonance imaging (fMRI) Provides advanced tools for the detection, monitoring, separation, localising and understanding of functional, anatomical, and physiological abnormalities of the brain Puts a major emphasis on brain dynamics and how this can be evaluated for the assessment of brain activity in various states such as for brain-computer interfacing emotions and mental fatigue analysis Focuses on multimodal and multiway adaptive processing of brain signals, the new direction of brain signal research

Adaptive Control Design and Analysis

Author : Gang Tao
Publisher : John Wiley & Sons
ISBN 13 : 9780471274520
Total Pages : 652 pages
Book Rating : 4.2/5 (745 download)

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Book Synopsis Adaptive Control Design and Analysis by : Gang Tao

Download or read book Adaptive Control Design and Analysis written by Gang Tao and published by John Wiley & Sons. This book was released on 2003-07-09 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: A systematic and unified presentation of the fundamentals of adaptive control theory in both continuous time and discrete time Today, adaptive control theory has grown to be a rigorous and mature discipline. As the advantages of adaptive systems for developing advanced applications grow apparent, adaptive control is becoming more popular in many fields of engineering and science. Using a simple, balanced, and harmonious style, this book provides a convenient introduction to the subject and improves one's understanding of adaptive control theory. Adaptive Control Design and Analysis features: Introduction to systems and control Stability, operator norms, and signal convergence Adaptive parameter estimation State feedback adaptive control designs Parametrization of state observers for adaptive control Unified continuous and discrete-time adaptive control L1+a robustness theory for adaptive systems Direct and indirect adaptive control designs Benchmark comparison study of adaptive control designs Multivariate adaptive control Nonlinear adaptive control Adaptive compensation of actuator nonlinearities End-of-chapter discussion, problems, and advanced topics As either a textbook or reference, this self-contained tutorial of adaptive control design and analysis is ideal for practicing engineers, researchers, and graduate students alike.

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.

Bayesian Signal Processing

Author : James V. Candy
Publisher : John Wiley & Sons
ISBN 13 : 1119125480
Total Pages : 640 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Bayesian Signal Processing by : James V. Candy

Download or read book Bayesian Signal Processing written by James V. Candy and published by John Wiley & Sons. This book was released on 2016-06-20 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the Bayesian approach to statistical signal processing for a variety of useful model sets This book aims to give readers a unified Bayesian treatment starting from the basics (Baye’s rule) to the more advanced (Monte Carlo sampling), evolving to the next-generation model-based techniques (sequential Monte Carlo sampling). This next edition incorporates a new chapter on “Sequential Bayesian Detection,” a new section on “Ensemble Kalman Filters” as well as an expansion of Case Studies that detail Bayesian solutions for a variety of applications. These studies illustrate Bayesian approaches to real-world problems incorporating detailed particle filter designs, adaptive particle filters and sequential Bayesian detectors. In addition to these major developments a variety of sections are expanded to “fill-in-the gaps” of the first edition. Here metrics for particle filter (PF) designs with emphasis on classical “sanity testing” lead to ensemble techniques as a basic requirement for performance analysis. The expansion of information theory metrics and their application to PF designs is fully developed and applied. These expansions of the book have been updated to provide a more cohesive discussion of Bayesian processing with examples and applications enabling the comprehension of alternative approaches to solving estimation/detection problems. The second edition of Bayesian Signal Processing features: “Classical” Kalman filtering for linear, linearized, and nonlinear systems; “modern” unscented and ensemble Kalman filters: and the “next-generation” Bayesian particle filters Sequential Bayesian detection techniques incorporating model-based schemes for a variety of real-world problems Practical Bayesian processor designs including comprehensive methods of performance analysis ranging from simple sanity testing and ensemble techniques to sophisticated information metrics New case studies on adaptive particle filtering and sequential Bayesian detection are covered detailing more Bayesian approaches to applied problem solving MATLAB® notes at the end of each chapter help readers solve complex problems using readily available software commands and point out other software packages available Problem sets included to test readers’ knowledge and help them put their new skills into practice Bayesian Signal Processing, Second Edition is written for all students, scientists, and engineers who investigate and apply signal processing to their everyday problems.

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 Inverse Control, Reissue Edition

Author : Bernard Widrow
Publisher : John Wiley & Sons
ISBN 13 : 9780470231609
Total Pages : 544 pages
Book Rating : 4.2/5 (316 download)

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Book Synopsis Adaptive Inverse Control, Reissue Edition by : Bernard Widrow

Download or read book Adaptive Inverse Control, Reissue Edition written by Bernard Widrow and published by John Wiley & Sons. This book was released on 2008-02-08 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: A self-contained introduction to adaptive inverse control Now featuring a revised preface that emphasizes the coverage of both control systems and signal processing, this reissued edition of Adaptive Inverse Control takes a novel approach that is not available in any other book. Written by two pioneers in the field, Adaptive Inverse Control presents methods of adaptive signal processing that are borrowed from the field of digital signal processing to solve problems in dynamic systems control. This unique approach allows engineers in both fields to share tools and techniques. Clearly and intuitively written, Adaptive Inverse Control illuminates theory with an emphasis on practical applications and commonsense understanding. It covers: the adaptive inverse control concept; Weiner filters; adaptive LMS filters; adaptive modeling; inverse plant modeling; adaptive inverse control; other configurations for adaptive inverse control; plant disturbance canceling; system integration; Multiple-Input Multiple-Output (MIMO) adaptive inverse control systems; nonlinear adaptive inverse control systems; and more. Complete with a glossary, an index, and chapter summaries that consolidate the information presented, Adaptive Inverse Control is appropriate as a textbook for advanced undergraduate- and graduate-level courses on adaptive control and also serves as a valuable resource for practitioners in the fields of control systems and signal processing.

Adaptive Signal Processing

Author : Bernard Widrow
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 504 pages
Book Rating : 4.4/5 (91 download)

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Book Synopsis Adaptive Signal Processing by : Bernard Widrow

Download or read book Adaptive Signal Processing written by Bernard Widrow and published by Prentice Hall. This book was released on 1985 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and practical treatment of adaptive signal processing featuring frequent use of examples.

Optimal and Adaptive Signal Processing

Author : Peter M. Clarkson
Publisher : Routledge
ISBN 13 : 135142677X
Total Pages : 560 pages
Book Rating : 4.3/5 (514 download)

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Book Synopsis Optimal and Adaptive Signal Processing by : Peter M. Clarkson

Download or read book Optimal and Adaptive Signal Processing written by Peter M. Clarkson and published by Routledge. This book was released on 2017-11-01 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations drawn from a wide range of applications, including speech and audio, communications, reflection seismology and sonar systems. The material is presented without a heavy reliance on mathematics and focuses on one-dimensional and array processing results, as well as a wide range of adaptive filter algorithms and implementations. Topics discussed include random signals and optimal processing, adaptive signal processing with the LMS algorithm, applications of adaptive filtering, algorithms and structures for adaptive filtering, spectral analysis, and array signal processing. Optimal and Adaptive Signal Processing is a valuable guide for scientists and engineers, as well as an excellent text for senior undergraduate/graduate level students in electrical engineering.