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Author : M. K. Chan
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (8 download)
Download or read book Adaptive Signal Processing Algorithms for Non-Gaussian Signals written by M. K. Chan and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : L.D. Davisson
Publisher : Springer
ISBN 13 :
Total Pages : 216 pages
Book Rating : 4.F/5 ( download)
Download or read book Adaptive Signal Processing written by L.D. Davisson and published by Springer. This book was released on 1991 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four chapters of this volume, written by prominent workers in the field of adaptive processing and linear prediction, address a variety of problems, ranging from adaptive source coding to autoregressive spectral estimation. The first chapter, by T.C. Butash and L.D. Davisson, formulates the performance of an adaptive linear predictor in a series of theorems, with and without the Gaussian assumption, under the hypothesis that its coefficients are derived from either the (single) observation sequence to be predicted (dependent case) or a second, statistically independent realisation (independent case). The contribution by H.V. Poor reviews three recently developed general methodologies for designing signal predictors under nonclassical operating conditions, namely the robust predictor, the high-speed Levinson modeling, and the approximate conditional mean nonlinear predictor. W. Wax presents the key concepts and techniques for detecting, localizing and beamforming multiple narrowband sources by passive sensor arrays. Special coding algorithms and techniques based on the use of linear prediction now permit high-quality voice reproduction at remorably low bit rates. The paper by A. Gersho reviews some of the main ideas underlying the algorithms of major interest today.
Author : Gonzalo R. Arce
Publisher : John Wiley & Sons
ISBN 13 : 0471691844
Total Pages : 483 pages
Book Rating : 4.4/5 (716 download)
Download or read book Nonlinear Signal Processing written by Gonzalo R. Arce and published by John Wiley & Sons. This book was released on 2005-01-03 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonlinear Signal Processing: A Statistical Approach focuses on unifying the study of a broad and important class of nonlinear signal processing algorithms which emerge from statistical estimation principles, and where the underlying signals are non-Gaussian, rather than Gaussian, processes. Notably, by concentrating on just two non-Gaussian models, a large set of tools is developed that encompass a large portion of the nonlinear signal processing tools proposed in the literature over the past several decades. Key features include: * Numerous problems at the end of each chapter to aid development and understanding * Examples and case studies provided throughout the book in a wide range of applications bring the text to life and place the theory into context * A set of 60+ MATLAB software m-files allowing the reader to quickly design and apply any of the nonlinear signal processing algorithms described in the book to an application of interest is available on the accompanying FTP site.
Author : Tülay Adali
Publisher : John Wiley & Sons
ISBN 13 : 0470575743
Total Pages : 428 pages
Book Rating : 4.4/5 (75 download)
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.
Author :
Publisher :
ISBN 13 :
Total Pages : 100 pages
Book Rating : 4.:/5 (227 download)
Download or read book High-Level Adaptive Signal Processing Architecture with Applications to Radar Non-Gaussian Clutter. Volume 2. A New Technique for Distribution Approximation of Random Data written by and published by . This book was released on 1995 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis deals with the analysis of random data. Two approaches are discussed. The first approach is a Goodness of Fit test to determine whether or not random data samples are statistically consistent with a prespecified probability distribution. The well known Kolmogorov Smirnov test, Chi Square test, Q-Q Plots and P-P plots are reviewed and illustrated by means of several examples. A new algorithm, the Ozturk Algorithm, is introduced. The second approach deals with approximation of the underlying probability density function of random data samples. The previously mentioned well known tests are not suitable for this task. However, the Ozturk Algorithm provides a powerful solution for this problem with a nice graphical interpretation. Finally, computer simulated results obtained with the Ozturk Algorithm are presented and discussed.
Author : Peter M. Clarkson
Publisher : CRC Press
ISBN 13 : 9780849386091
Total Pages : 550 pages
Book Rating : 4.3/5 (86 download)
Download or read book Optimal and Adaptive Signal Processing written by Peter M. Clarkson and published by CRC Press. This book was released on 1993-02-10 with total page 550 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.
Author : Victor Solo
Publisher :
ISBN 13 :
Total Pages : 416 pages
Book Rating : 4.F/5 ( download)
Download or read book Adaptive Signal Processing Algorithms written by Victor Solo and published by . This book was released on 1995 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although there has been considerable research activity in the theoretical study of ASP (and Adaptive Control) algorithms in recent years, most of the available literature has touched only briefly on performance analysis. This volume fills that gap by exploring the analysis of behavior (i.e., stability and performance) of Adaptive Signal Processing (ASP) algorithms -- discussing general methods of algorithm construction and general methods of algorithm analysis. Part I introduces ASP through its applications, shows how to construct ASP algorithms, and gives a detailed global stability and performance analysis in both deterministic and stochastic settings. Part II explores deterministic stability analysis by means of averaging methods, which are necessary to handle more complicated algorithms. Part III treats stochastic stability and performance by averaging methods. For practitioners and researchers in signal processing, communication and control.
Download or read book Paysages végétaux naturels written by and published by . This book was released on 1785 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : N. Kalouptsidis
Publisher :
ISBN 13 :
Total Pages : 584 pages
Book Rating : 4.3/5 (91 download)
Download or read book Adaptive System Identification and Signal Processing Algorithms written by N. Kalouptsidis and published by . This book was released on 1993 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: An account of an important class of algorithmic families for adaptive system identification and signal processing. The LMS family and R&S and its fast versions, as well as the back propagation algorithms for neural networks, are examined in the context of algorithmic efficiency.
Author : Paulo S R Diniz
Publisher : Springer Science & Business Media
ISBN 13 : 144198660X
Total Pages : 453 pages
Book Rating : 4.4/5 (419 download)
Download or read book Adaptive Filtering written by Paulo S R Diniz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of Digital Signal Processing has developed so fast in the last two decades that it can be found in the graduate and undergraduate programs of most universities. This development is related to the growing available techno logies for implementing digital signal processing algorithms. The tremendous growth of development in the digital signal processing area has turned some of its specialized areas into fields themselves. If accurate information of the signals to be processed is available, the designer can easily choose the most appropriate algorithm to process the signal. When dealing with signals whose statistical properties are unknown, fixed algorithms do not process these signals efficiently. The solution is to use an adaptive filter that automatically changes its characteristics by optimizing the internal parameters. The adaptive filtering algorithms are essential in many statistical signal processing applications. Although the field of adaptive signal processing has been subject of research for over three decades, it was in the eighties that a major growth occurred in research and applications. Two main reasons can be credited to this growth, the availability of implementation tools and the appearance of early textbooks exposing the subject in an organized form. Presently, there is still a lot of activities going on in the area of adaptive filtering. In spite of that, the theor etical development in the linear-adaptive-filtering area reached a maturity that justifies a text treating the various methods in a unified way, emphasizing the algorithms that work well in practical implementation.
Author : Widrow
Publisher : Pearson Education India
ISBN 13 : 9788131705322
Total Pages : 496 pages
Book Rating : 4.7/5 (53 download)
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:
Author : Bernard Widrow
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 504 pages
Book Rating : 4.4/5 (91 download)
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.
Author : Aurelio Uncini
Publisher : Springer
ISBN 13 : 3319028073
Total Pages : 725 pages
Book Rating : 4.3/5 (19 download)
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 725 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.
Author : Wentao Ma
Publisher : CRC Press
ISBN 13 : 1040015921
Total Pages : 389 pages
Book Rating : 4.0/5 (4 download)
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.
Author : Danilo P. Mandic
Publisher : John Wiley & Sons
ISBN 13 : 0470742631
Total Pages : 344 pages
Book Rating : 4.4/5 (77 download)
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.
Author : Zeyu Wang
Publisher : CRC Press
ISBN 13 : 1040030424
Total Pages : 195 pages
Book Rating : 4.0/5 (4 download)
Download or read book Adaptive Detection for Multichannel Signals in Non-Ideal Environments written by Zeyu Wang and published by CRC Press. This book was released on 2024-06-14 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book systematically presents adaptive multichannel signal detection in three types of non-ideal environments, including sample-starved scenarios, signal mismatch scenarios, and noise plus subspace interference environments. The authors provide definitions of key concepts, detailed derivations of adaptive multichannel signal detectors, and specific examples for each non-ideal environment. In addition, the possible future trend of adaptive detection methods is discussed, as well as two further research points – namely, the adaptive detection algorithms based on information geometry, and the hybrid approaches that combine adaptive detection algorithms with machine learning algorithms. The book will be of interest to researchers, advanced undergraduates, and graduate students in sonar, radar signal processing, and communications engineering.
Author : Jacob Benesty
Publisher : Springer Science & Business Media
ISBN 13 : 3662110288
Total Pages : 366 pages
Book Rating : 4.6/5 (621 download)
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 366 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.
