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Author: W. J. Fitzgerald
Publisher: Cambridge University Press
Published: 2000
Total Pages: 510
ISBN-13: 9780521800440
DOWNLOAD EBOOKSignal processing, nonlinear data analysis, nonlinear time series, nonstationary processes.
Author: Hua-Liang Wei
Publisher:
Published: 2004
Total Pages:
ISBN-13:
DOWNLOAD EBOOKAuthor: Gonzalo R. Arce
Publisher: John Wiley & Sons
Published: 2005-01-03
Total Pages: 483
ISBN-13: 0471691844
DOWNLOAD EBOOKNonlinear 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: Kenneth E. Barner
Publisher: CRC Press
Published: 2003-11-24
Total Pages: 560
ISBN-13: 0203010418
DOWNLOAD EBOOKNonlinear signal and image processing methods are fast emerging as an alternative to established linear methods for meeting the challenges of increasingly sophisticated applications. Advances in computing performance and nonlinear theory are making nonlinear techniques not only viable, but practical. This book details recent advances in nonl
Author: Arturo Roman Messina
Publisher: Springer Science & Business Media
Published: 2009-04-21
Total Pages: 278
ISBN-13: 0387895302
DOWNLOAD EBOOKThe study of complex dynamic processes governed by nonlinear and nonstationary characteristics is a problem of great importance in the analysis and control of power system oscillatory behavior. Power system dynamic processes are highly random, nonlinear to some extent, and intrinsically nonstationary even over short time intervals as in the case of severe transient oscillations in which switching events and control actions interact in a complex manner. Phenomena observed in power system oscillatory dynamics are diverse and complex. Measured ambient data are known to exhibit noisy, nonstationary fluctuations resulting primarily from small magnitude, random changes in load, driven by low-scale motions or nonlinear trends originating from slow control actions or changes in operating conditions. Forced oscillations resulting from major cascading events, on the other hand, may contain motions with a broad range of scales and can be highly nonlinear and time-varying. Prediction of temporal dynamics, with the ultimate application to real-time system monitoring, protection and control, remains a major research challenge due to the complexity of the driving dynamic and control processes operating on various temporal scales that can become dynamically involved. An understanding of system dynamics is critical for reliable inference of the underlying mechanisms in the observed oscillations and is needed for the development of effective wide-area measurement and control systems, and for improved operational reliability.
Author: Francis Castanié
Publisher: Wiley-ISTE
Published: 2016-06-30
Total Pages:
ISBN-13: 9781118578643
DOWNLOAD EBOOKAuthor: Afshin Samani
Publisher: CRC Press
Published: 2019-10-10
Total Pages: 99
ISBN-13: 0429553919
DOWNLOAD EBOOKThis book introduces the basic concepts of signal processing for scientists and students with no engineering background. The book presents the concepts with minimum use of mathematical formulations and more emphasis on visual illustrations. The idea is to present an intuitive approach to understanding the basics of signal processing and exemplify some practical applications of the concepts by which the readers achieve basic knowledge and skills in signal processing. Most of illustrations in the book have been created by computer programming in MATLAB®; thus, the reader will learn the basics of using computers in signal processing applications.
Author: Ali Moukadem
Publisher: John Wiley & Sons
Published: 2014-03-06
Total Pages: 149
ISBN-13: 1118908708
DOWNLOAD EBOOKThis book focuses on signal processing algorithms based on the timefrequency domain. Original methods and algorithms are presented which are able to extract information from non-stationary signals such as heart sounds and power electric signals. The methods proposed focus on the time-frequency domain, and most notably the Stockwell Transform for the feature extraction process and to identify signatures. For the classification method, the Adaline Neural Network is used and compared with other common classifiers. Theory enhancement, original applications and concrete implementation on FPGA for real-time processing are also covered in this book.
Author: Colin F. N. Cowan
Publisher:
Published: 2004
Total Pages:
ISBN-13:
DOWNLOAD EBOOKAuthor: Arturo Roman Messina
Publisher: Springer
Published: 2009-03-19
Total Pages: 275
ISBN-13: 9780387895291
DOWNLOAD EBOOKThe study of complex dynamic processes governed by nonlinear and nonstationary characteristics is a problem of great importance in the analysis and control of power system oscillatory behavior. Power system dynamic processes are highly random, nonlinear to some extent, and intrinsically nonstationary even over short time intervals as in the case of severe transient oscillations in which switching events and control actions interact in a complex manner. Phenomena observed in power system oscillatory dynamics are diverse and complex. Measured ambient data are known to exhibit noisy, nonstationary fluctuations resulting primarily from small magnitude, random changes in load, driven by low-scale motions or nonlinear trends originating from slow control actions or changes in operating conditions. Forced oscillations resulting from major cascading events, on the other hand, may contain motions with a broad range of scales and can be highly nonlinear and time-varying. Prediction of temporal dynamics, with the ultimate application to real-time system monitoring, protection and control, remains a major research challenge due to the complexity of the driving dynamic and control processes operating on various temporal scales that can become dynamically involved. An understanding of system dynamics is critical for reliable inference of the underlying mechanisms in the observed oscillations and is needed for the development of effective wide-area measurement and control systems, and for improved operational reliability.
