On estimating non-causal non-minimum phase arma models of non-gaussian processes

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ISBN 13 :
Total Pages : 66 pages
Book Rating : 4.X/5 (4 download)

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Book Synopsis On estimating non-causal non-minimum phase arma models of non-gaussian processes by : Georgios B. Giannakis

Download or read book On estimating non-causal non-minimum phase arma models of non-gaussian processes written by Georgios B. Giannakis and published by . This book was released on 1988 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Workshop on Higher-Order Spectral Analysis

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Publisher :
ISBN 13 :
Total Pages : 286 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Workshop on Higher-Order Spectral Analysis by :

Download or read book Workshop on Higher-Order Spectral Analysis written by and published by . This book was released on 1989 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Cumulant and polyspectral measures for non-Gaussian signal classification and estimation

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ISBN 13 :
Total Pages : 72 pages
Book Rating : 4.X/5 (4 download)

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Book Synopsis Cumulant and polyspectral measures for non-Gaussian signal classification and estimation by : Georgios B. Giannakis

Download or read book Cumulant and polyspectral measures for non-Gaussian signal classification and estimation written by Georgios B. Giannakis and published by . This book was released on 1989 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Two-dimensional Signal Analysis

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Publisher : John Wiley & Sons
ISBN 13 : 1118621646
Total Pages : 235 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Two-dimensional Signal Analysis by : René Garello

Download or read book Two-dimensional Signal Analysis written by René Garello and published by John Wiley & Sons. This book was released on 2013-03-01 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title sets out to show that 2-D signal analysis has its own role to play alongside signal processing and image processing. Concentrating its coverage on those 2-D signals coming from physical sensors (such as radars and sonars), the discussion explores a 2-D spectral approach but develops the modeling of 2-D signals and proposes several data-oriented analysis techniques for dealing with them. Coverage is also given to potential future developments in this area.

Artificial Neural Nets and Genetic Algorithms

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Publisher : Springer Science & Business Media
ISBN 13 : 3709164923
Total Pages : 654 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis Artificial Neural Nets and Genetic Algorithms by : George D. Smith

Download or read book Artificial Neural Nets and Genetic Algorithms written by George D. Smith and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the third in a series of conferences devoted primarily to the theory and applications of artificial neural networks and genetic algorithms. The first such event was held in Innsbruck, Austria, in April 1993, the second in Ales, France, in April 1995. We are pleased to host the 1997 event in the mediaeval city of Norwich, England, and to carryon the fine tradition set by its predecessors of providing a relaxed and stimulating environment for both established and emerging researchers working in these and other, related fields. This series of conferences is unique in recognising the relation between the two main themes of artificial neural networks and genetic algorithms, each having its origin in a natural process fundamental to life on earth, and each now well established as a paradigm fundamental to continuing technological development through the solution of complex, industrial, commercial and financial problems. This is well illustrated in this volume by the numerous applications of both paradigms to new and challenging problems. The third key theme of the series, therefore, is the integration of both technologies, either through the use of the genetic algorithm to construct the most effective network architecture for the problem in hand, or, more recently, the use of neural networks as approximate fitness functions for a genetic algorithm searching for good solutions in an 'incomplete' solution space, i.e. one for which the fitness is not easily established for every possible solution instance.

Blind Equalization and Identification

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Publisher : CRC Press
ISBN 13 : 1482270730
Total Pages : 418 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Blind Equalization and Identification by : Zhi Ding

Download or read book Blind Equalization and Identification written by Zhi Ding and published by CRC Press. This book was released on 2018-10-08 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text seeks to clarify various contradictory claims regarding capabilities and limitations of blind equalization. It highlights basic operating conditions and potential for malfunction. The authors also address concepts and principles of blind algorithms for single input multiple output (SIMO) systems and multi-user extensions of SIMO equalization and identification.

An Information-Theoretic Approach to Neural Computing

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Publisher : Springer Science & Business Media
ISBN 13 : 1461240166
Total Pages : 265 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis An Information-Theoretic Approach to Neural Computing by : Gustavo Deco

Download or read book An Information-Theoretic Approach to Neural Computing written by Gustavo Deco and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed formulation of neural networks from the information-theoretic viewpoint. The authors show how this perspective provides new insights into the design theory of neural networks. In particular they demonstrate how these methods may be applied to the topics of supervised and unsupervised learning, including feature extraction, linear and non-linear independent component analysis, and Boltzmann machines. Readers are assumed to have a basic understanding of neural networks, but all the relevant concepts from information theory are carefully introduced and explained. Consequently, readers from varied scientific disciplines, notably cognitive scientists, engineers, physicists, statisticians, and computer scientists, will find this an extremely valuable introduction to this topic.

Lessons in Estimation Theory for Signal Processing, Communications, and Control

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Publisher : Pearson Education
ISBN 13 : 0132440792
Total Pages : 891 pages
Book Rating : 4.1/5 (324 download)

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Book Synopsis Lessons in Estimation Theory for Signal Processing, Communications, and Control by : Jerry M. Mendel

Download or read book Lessons in Estimation Theory for Signal Processing, Communications, and Control written by Jerry M. Mendel and published by Pearson Education. This book was released on 1995-03-14 with total page 891 pages. Available in PDF, EPUB and Kindle. Book excerpt: Estimation theory is a product of need and technology. As a result, it is an integral part of many branches of science and engineering. To help readers differentiate among the rich collection of estimation methods and algorithms, this book describes in detail many of the important estimation methods and shows how they are interrelated. Written as a collection of lessons, this book introduces readers o the general field of estimation theory and includes abundant supplementary material.

Advanced Algorithms and Architectures for Signal Processing III

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Publisher :
ISBN 13 :
Total Pages : 410 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Advanced Algorithms and Architectures for Signal Processing III by : Franklin T. Luk

Download or read book Advanced Algorithms and Architectures for Signal Processing III written by Franklin T. Luk and published by . This book was released on 1989 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applied Neural Networks for Signal Processing

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Publisher : Cambridge University Press
ISBN 13 : 9780521644006
Total Pages : 388 pages
Book Rating : 4.6/5 (44 download)

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Book Synopsis Applied Neural Networks for Signal Processing by : Fa-Long Luo

Download or read book Applied Neural Networks for Signal Processing written by Fa-Long Luo and published by Cambridge University Press. This book was released on 1998 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to the use of neural networks in signal processing.

Modern Signal Processing

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110475561
Total Pages : 602 pages
Book Rating : 4.1/5 (14 download)

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Book Synopsis Modern Signal Processing by : Xian-Da Zhang

Download or read book Modern Signal Processing written by Xian-Da Zhang and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-12-05 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book systematically introduces theories of frequently-used modern signal processing methods and technologies, and focuses discussions on stochastic signal, parameter estimation, modern spectral estimation, adaptive filter, high-order signal analysis and non-linear transformation in time-domain signal analysis. With abundant exercises, the book is an essential reference for graduate students in electrical engineering and information science.

Modeling of multidimensional nongaussian processes using cumulants

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ISBN 13 :
Total Pages : 74 pages
Book Rating : 4.X/5 (4 download)

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Book Synopsis Modeling of multidimensional nongaussian processes using cumulants by : Georgios B. Giannakis

Download or read book Modeling of multidimensional nongaussian processes using cumulants written by Georgios B. Giannakis and published by . This book was released on 1989 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Biomedical Engineering Handbook

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Publisher : CRC Press
ISBN 13 : 9780849304613
Total Pages : 1700 pages
Book Rating : 4.3/5 (46 download)

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Book Synopsis Biomedical Engineering Handbook by : Joseph D. Bronzino

Download or read book Biomedical Engineering Handbook written by Joseph D. Bronzino and published by CRC Press. This book was released on 1999-12-28 with total page 1700 pages. Available in PDF, EPUB and Kindle. Book excerpt: Category Biomedical Engineering Subcategory Contact Editor: Stern

Proceedings of the ... Conference on Information Sciences and Systems

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ISBN 13 :
Total Pages : 890 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Proceedings of the ... Conference on Information Sciences and Systems by :

Download or read book Proceedings of the ... Conference on Information Sciences and Systems written by and published by . This book was released on 1995 with total page 890 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Blind Estimation Using Higher-Order Statistics

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Publisher : Springer Science & Business Media
ISBN 13 : 1475729855
Total Pages : 290 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Blind Estimation Using Higher-Order Statistics by : Asoke Kumar Nandi

Download or read book Blind Estimation Using Higher-Order Statistics written by Asoke Kumar Nandi and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the signal-processing research community, a great deal of progress in higher-order statistics (HOS) began in the mid-1980s. These last fifteen years have witnessed a large number of theoretical developments as well as real applications. Blind Estimation Using Higher-Order Statistics focuses on the blind estimation area and records some of the major developments in this field. Blind Estimation Using Higher-Order Statistics is a welcome addition to the few books on the subject of HOS and is the first major publication devoted to covering blind estimation using HOS. The book provides the reader with an introduction to HOS and goes on to illustrate its use in blind signal equalisation (which has many applications including (mobile) communications), blind system identification, and blind sources separation (a generic problem in signal processing with many applications including radar, sonar and communications). There is also a chapter devoted to robust cumulant estimation, an important problem where HOS results have been encouraging. Blind Estimation Using Higher-Order Statistics is an invaluable reference for researchers, professionals and graduate students working in signal processing and related areas.

Higher-order Statistical Signal Processing

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ISBN 13 :
Total Pages : 560 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Higher-order Statistical Signal Processing by : Boualem Boashash

Download or read book Higher-order Statistical Signal Processing written by Boualem Boashash and published by . This book was released on 1995 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Higher-Order Statistical Signal Processing brings together some most recent innovations in the field of higher-order statistical signal processing. It is structured to provide a comprehensive understanding of the fundamentals of the discipline, as well as a treatment of recent advances.

Time Series Analysis and Applications to Geophysical Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1461229626
Total Pages : 262 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Time Series Analysis and Applications to Geophysical Systems by : David Brillinger

Download or read book Time Series Analysis and Applications to Geophysical Systems written by David Brillinger and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Part of a two volume set based on a recent IMA program of the same name. The goal of the program and these books is to develop a community of statistical and other scientists kept up-to-date on developments in this quickly evolving and interdisciplinary field. Consequently, these books present recent material by distinguished researchers. Topics discussed in Part I include nonlinear and non- Gaussian models and processes (higher order moments and spectra, nonlinear systems, applications in astronomy, geophysics, engineering, and simulation) and the interaction of time series analysis and statistics (information model identification, categorical valued time series, nonparametric and semiparametric methods). Self-similar processes and long-range dependence (time series with long memory, fractals, 1/f noise, stable noise) and time series research common to engineers and economists (modeling of multivariate and possibly non-stationary time series, state space and adaptive methods) are discussed in Part II.