Svd And Signal Processing Iii

Author : M. Moonen
Publisher : Elsevier
ISBN 13 : 9780080542157
Total Pages : 485 pages
Book Rating : 4.58/5 ( download)

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Download or read book SVD and Signal Processing, III written by M. Moonen and published by Elsevier. This book was released on 1995-03-16 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: Matrix Singular Value Decomposition (SVD) and its application to problems in signal processing is explored in this book. The papers discuss algorithms and implementation architectures for computing the SVD, as well as a variety of applications such as systems and signal modeling and detection. The publication presents a number of keynote papers, highlighting recent developments in the field, namely large scale SVD applications, isospectral matrix flows, Riemannian SVD and consistent signal reconstruction. It also features a translation of a historical paper by Eugenio Beltrami, containing one of the earliest published discussions of the SVD. With contributions sourced from internationally recognised scientists, the book will be of specific interest to all researchers and students involved in the SVD and signal processing field.

Author : Ed. F. Deprettere
Publisher :
ISBN 13 :
Total Pages : 500 pages
Book Rating : 4.61/5 ( download)

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Download or read book SVD and Signal Processing written by Ed. F. Deprettere and published by . This book was released on 1988 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compiled in this book is a selection of articles written by internationally recognized experts in the fields of matrix computation and signal processing. In almost all digital signal processing (DSR) problems, the available data is corrupted by (measurement) noise or is incomplete. Classical techniques are unable to separate ''signal'' spaces and ''noise'' spaces. However, the information hidden in the data can be made explicit through singular value decomposition (SVD). SVD based signal processing is making headway and will become feasible soon, thanks to the progress in parallel computations and VLSI implementation. The book is divided into six parts. Part one is a tutorial, beginning with an introduction, including (VLSI) parallel algorithms and some intriguing problems. It describes several applications of SVD in system identification and signal detection. It also deals with the fundamental harmonic retrieval problem and principal component analysis. Part two discusses details of model reduction, system identification and detection of multiple sinusoids in white noise, while part three is devoted to the total-least-squares and generalized singular value decomposition problems. The fourth section deals with real-time and adaptive algorithms, the fifth examines fast algorithms and architectures, such as block-algorithms, computational arrays, systolic arrays, hypercubes and connection machines, and the final part addresses some open problems.

Author : Richard J. Vaccaro
Publisher : Elsevier Publishing Company
ISBN 13 :
Total Pages : 534 pages
Book Rating : 4.33/5 ( download)

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Download or read book SVD and Signal Processing, II written by Richard J. Vaccaro and published by Elsevier Publishing Company. This book was released on 1991 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is an outgrowth of the 2nd International Workshop on SVD and Signal Processing which was held in Kingston, Rhode Island, 25-27 June, 1990. The singular value decomposition (SVD) has been applied to signal processing problems since the late 1970's, although it has been known in various forms for over 100 years. SVD filtering has been shown to give better results at lower signal-to-noise ratios than classical techniques based on linear filtering. This explains in part the recent interest in SVD techniques for signal processing. This book is a compilation of papers that examine in detail the singular decomposition of a matrix and its application to problems in signal processing. Algorithms and implementation architectures for computing the SVD are discussed, and analysis techniques for predicting and understanding the performance of SVD-based algorithms are given. The volume will provide both a stimulus for future research in this field as well as useful reference material for many years to come.

Author : C.H. Chen
Publisher : CRC Press
ISBN 13 : 9780849350917
Total Pages : 712 pages
Book Rating : 4.13/5 ( download)

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Download or read book Signal and Image Processing for Remote Sensing written by C.H. Chen and published by CRC Press. This book was released on 2006-10-09 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most data from satellites are in image form, thus most books in the remote sensing field deal exclusively with image processing. However, signal processing can contribute significantly in extracting information from the remotely sensed waveforms or time series data. Pioneering the combination of the two processes, Signal and Image Processing for Remote Sensing provides a balance between the role of signal processing and image processing in remote sensing. Featuring contributions from worldwide experts, this book emphasizes mathematical approaches. Divided into two parts, Part I examines signal processing for remote sensing and Part II explores image processing. Not limited to the problems with data from satellite sensors, the book considers other sensors which acquire data remotely, including signals and images from infrasound, seismic, microwave, and satellite sensors. It covers a broader scope of issues in remote sensing information processing than other books in this area. With rapid technological advances, the mathematical techniques provided will far outlast the sensor, software and hardware technologies. Focusing on methodologies of signal processing and image processing in remote sensing, this book discusses unique techniques for dealing with remote sensing problems.

Author : Nina Golyandina
Publisher : Springer Science & Business Media
ISBN 13 : 3642349137
Total Pages : 126 pages
Book Rating : 4.33/5 ( download)

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Download or read book Singular Spectrum Analysis for Time Series written by Nina Golyandina and published by Springer Science & Business Media. This book was released on 2013-01-19 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: Singular spectrum analysis (SSA) is a technique of time series analysis and forecasting combining elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing. SSA seeks to decompose the original series into a sum of a small number of interpretable components such as trend, oscillatory components and noise. It is based on the singular value decomposition of a specific matrix constructed upon the time series. Neither a parametric model nor stationarity are assumed for the time series. This makes SSA a model-free method and hence enables SSA to have a very wide range of applicability. The present book is devoted to the methodology of SSA and shows how to use SSA both safely and with maximum effect. Potential readers of the book include: professional statisticians and econometricians, specialists in any discipline in which problems of time series analysis and forecasting occur, specialists in signal processing and those needed to extract signals from noisy data, and students taking courses on applied time series analysis.

Author : Vijay Madisetti
Publisher : CRC Press
ISBN 13 : 1420046055
Total Pages : 874 pages
Book Rating : 4.52/5 ( download)

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Download or read book Wireless, Networking, Radar, Sensor Array Processing, and Nonlinear Signal Processing written by Vijay Madisetti and published by CRC Press. This book was released on 2018-09-03 with total page 874 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues to provide the engineering community with authoritative coverage of the fundamental and specialized aspects of information-bearing signals in digital form. Encompassing essential background material, technical details, standards, and software, the second edition reflects cutting-edge information on signal processing algorithms and protocols related to speech, audio, multimedia, and video processing technology associated with standards ranging from WiMax to MP3 audio, low-power/high-performance DSPs, color image processing, and chips on video. Drawing on the experience of leading engineers, researchers, and scholars, the three-volume set contains 29 new chapters that address multimedia and Internet technologies, tomography, radar systems, architecture, standards, and future applications in speech, acoustics, video, radar, and telecommunications. This volume, Wireless, Networking, Radar, Sensor Array Processing, and Nonlinear Signal Processing, provides complete coverage of the foundations of signal processing related to wireless, radar, space–time coding, and mobile communications, together with associated applications to networking, storage, and communications.

Author : J. G. McWhirter
Publisher : Oxford University Press, USA
ISBN 13 :
Total Pages : 470 pages
Book Rating : 4.84/5 ( download)

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Download or read book Mathematics in Signal Processing III written by J. G. McWhirter and published by Oxford University Press, USA. This book was released on 1994 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a survey of recent work in signal processing. Some of the papers report progress which has been made in established areas of research such as adaptive filtering and spectral analysis. Other papers relate to emerging topics of interest such as wavelet analysis, fractal approximation,and nonlinear filtering. Particular effort was made to include papers which consider the development of mathemtical techniques for various signal processing applications ranging from radar and communication systems to astronomy, seismology, and medical imagery. The keynote paper entitled "Adaptive Algorithms for BlindChannel Equalisation" by Professor J. G. Proakis encompasses all of these characteristics and thus sets the tone for the rest of the volume whilst reporting some highly significant research.

Author : Ian T. Young
Publisher :
ISBN 13 :
Total Pages : 814 pages
Book Rating : 4.17/5 ( download)

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Download or read book Signal Processing III written by Ian T. Young and published by . This book was released on 1986 with total page 814 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : J. G. McWhirter
Publisher : Oxford University Press
ISBN 13 : 9780198507345
Total Pages : 380 pages
Book Rating : 4.48/5 ( download)

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Download or read book Mathematics in Signal Processing V written by J. G. McWhirter and published by Oxford University Press. This book was released on 2002 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: A selection of papers presented at the four-yearly IMA conference on Mathematics in Signal Processing. Covering a wide range of recent topics, including excellent review papers and original research.

Author : Vadim Olshevsky
Publisher : American Mathematical Soc.
ISBN 13 : 0821819216
Total Pages : 346 pages
Book Rating : 4.10/5 ( download)

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Download or read book Structured Matrices in Mathematics, Computer Science, and Engineering I written by Vadim Olshevsky and published by American Mathematical Soc.. This book was released on 2001 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The collection of the contributions to these volumes offers a flavor of the plethora of different approaches to attack structured matrix problems. The reader will find that the theory of structured matrices is positioned to bridge diverse applications in the sciences and engineering, deep mathematical theories, as well as computational and numberical issues. The presentation fully illustrates the fact that the technicques of engineers, mathematicisn, and numerical analysts nicely complement each other, and they all contribute to one unified theory of structured matrices"--Back cover.