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Multiscale Signal Processing
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Book Synopsis Multiscale Signal Analysis and Modeling by : Xiaoping Shen
Download or read book Multiscale Signal Analysis and Modeling written by Xiaoping Shen and published by Springer Science & Business Media. This book was released on 2012-09-18 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiscale Signal Analysis and Modeling presents recent advances in multiscale analysis and modeling using wavelets and other systems. This book also presents applications in digital signal processing using sampling theory and techniques from various function spaces, filter design, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and statistical learning theory.
Book Synopsis Multiscale Signal Analysis and Modeling by :
Download or read book Multiscale Signal Analysis and Modeling written by and published by Springer. This book was released on 2012-09-19 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Sparse Image and Signal Processing by : Jean-Luc Starck
Download or read book Sparse Image and Signal Processing written by Jean-Luc Starck and published by Cambridge University Press. This book was released on 2015-10-14 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents state-of-the-art sparse and multiscale image and signal processing with applications in astronomy, biology, MRI, media, and forensics.
Book Synopsis Wavelets and Multiscale Signal Processing by : Albert Cohen
Download or read book Wavelets and Multiscale Signal Processing written by Albert Cohen and published by Springer. This book was released on 1995-09 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since their appearance in mid-1980s, wavelets and, more generally, multiscale methods have become powerful tools in mathematical analysis and in applications to numerical analysis and signal processing. This book is based on "Ondelettes et Traitement Numerique du Signal" by Albert Cohen. It has been translated from French by Robert D. Ryan and extensively updated by both Cohen and Ryan. It studies the existing relations between filter banks and wavelet decompositions and shows how these relations can be exploited in the context of digital signal processing. Throughout, the book concentrates on the fundamentals. It begins with a chapter on the concept of multiresolution analysis, which contains complete proofs of the basic results. The description of filter banks that are related to wavelet bases is elaborated in both the orthogonal case (Chapter 2), and in the biorthogonal case (Chapter 4). The regularity of wavelets, how this is related to the properties of the filters and the importance of regularity for the algorithms are the subjects of Chapter 3. Chapter 5 looks at multiscale decomposition as it applies to stochastic processing, in particular to signal and image processing.
Book Synopsis Wavelets and Multiscale Signal Processing by : Taylor & Francis Group
Download or read book Wavelets and Multiscale Signal Processing written by Taylor & Francis Group and published by . This book was released on 2018-09-30 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Stochastic Modeling Approach to Multiscale Signal Processing by : Kenneth Chien-ko Chou
Download or read book A Stochastic Modeling Approach to Multiscale Signal Processing written by Kenneth Chien-ko Chou and published by . This book was released on 1991 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Multiscale Transforms with Application to Image Processing by : Aparna Vyas
Download or read book Multiscale Transforms with Application to Image Processing written by Aparna Vyas and published by Springer. This book was released on 2017-12-05 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to image processing, an overview of the transforms which are most widely used in the field of image processing, and an introduction to the application of multiscale transforms in image processing. The book is divided into three parts, with the first part offering the reader a basic introduction to image processing. The second part of the book starts with a chapter on Fourier analysis and Fourier transforms, wavelet analysis, and ends with a chapter on new multiscale transforms. The final part of the book deals with all of the most important applications of multiscale transforms in image processing. The chapters consist of both tutorial and highly advanced material, and as such the book is intended to be a reference text for graduate students and researchers to obtain state-of-the-art knowledge on specific applications. The technique of solving problems in the transform domain is common in applied mathematics and widely used in research and industry, but is a somewhat neglected subject within the undergraduate curriculum. It is hoped that faculty can use this book to create a course that can be offered early in the curriculum and fill this void. Also, the book is intended to be used as a reference manual for scientists who are engaged in image processing research, developers of image processing hardware and software systems, and practising engineers and scientists who use image processing as a tool in their applications.
Book Synopsis Multiscale Signal Analysis and Modeling by : Xiaoping Shen
Download or read book Multiscale Signal Analysis and Modeling written by Xiaoping Shen and published by Springer Science & Business Media. This book was released on 2012-09-18 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiscale Signal Analysis and Modeling presents recent advances in multiscale analysis and modeling using wavelets and other systems. This book also presents applications in digital signal processing using sampling theory and techniques from various function spaces, filter design, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and statistical learning theory.
Book Synopsis A Stochastic Modelling Approach to Multiscale Signal Processing by : Kenneth Chien-ko Chou
Download or read book A Stochastic Modelling Approach to Multiscale Signal Processing written by Kenneth Chien-ko Chou and published by . This book was released on 1991 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Characterization of Signals from Multiscale Edges by : Stephane Mallat
Download or read book Characterization of Signals from Multiscale Edges written by Stephane Mallat and published by Palala Press. This book was released on 2015-09-08 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Book Synopsis Sparse Image and Signal Processing by : Jean-Luc Starck
Download or read book Sparse Image and Signal Processing written by Jean-Luc Starck and published by Cambridge University Press. This book was released on 2015-10-14 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thoroughly updated new edition presents state-of-the-art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest results in inverse problem solving and regularization, sparse signal decomposition, blind source separation, in-painting, and compressed sensing. New chapters and sections cover multiscale geometric transforms for three-dimensional data (data cubes), data on the sphere (geo-located data), dictionary learning, and nonnegative matrix factorization. The authors wed theory and practice in examining applications in areas such as astronomy, including recent results from the European Space Agency's Herschel mission, biology, fusion physics, cold dark matter simulation, medical MRI, digital media, and forensics. MATLAB® and IDL code, available online at www.SparseSignalRecipes.info, accompany these methods and all applications.
Book Synopsis Sparse Image and Signal Processing by : Jean-Luc Starck
Download or read book Sparse Image and Signal Processing written by Jean-Luc Starck and published by . This book was released on 2010 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the state of the art in sparse and multiscale image and signal processing.
Book Synopsis Multiscale Analysis of Complex Time Series by : Jianbo Gao
Download or read book Multiscale Analysis of Complex Time Series written by Jianbo Gao and published by John Wiley & Sons. This book was released on 2007-12-04 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: The only integrative approach to chaos and random fractal theory Chaos and random fractal theory are two of the most important theories developed for data analysis. Until now, there has been no single book that encompasses all of the basic concepts necessary for researchers to fully understand the ever-expanding literature and apply novel methods to effectively solve their signal processing problems. Multiscale Analysis of Complex Time Series fills this pressing need by presenting chaos and random fractal theory in a unified manner. Adopting a data-driven approach, the book covers: DNA sequence analysis EEG analysis Heart rate variability analysis Neural information processing Network traffic modeling Economic time series analysis And more Additionally, the book illustrates almost every concept presented through applications and a dedicated Web site is available with source codes written in various languages, including Java, Fortran, C, and MATLAB, together with some simulated and experimental data. The only modern treatment of signal processing with chaos and random fractals unified, this is an essential book for researchers and graduate students in electrical engineering, computer science, bioengineering, and many other fields.
Book Synopsis New Approaches to Multiscale Signal Processing by : Jing Hu
Download or read book New Approaches to Multiscale Signal Processing written by Jing Hu and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: ABSTRACT: Complex systems usually comprise multiple subsystems with highly nonlinear deterministic and stochastic characteristics, and are regulated hierarchically. These systems generate signals with complex characteristics such as sensitive dependence on small disturbances, long memory, extreme variations, and nonstationarity. Chaos theory and random fractal theory are two of the most important theories developed for analyzing complex signals. However, they have entirely different foundations, one being deterministic and the other being random. To synergistically use these two theories, we developed a new theoretical framework, power-law sensitivity to initial conditions (PSIC), to encompass both chaos and random fractal theories as special cases. To show the power of this framework, we applied it to study two challenging and important problems: Internet dynamics and sea clutter radar returns. We showed that PSIC can readily characterize the complicated Internet dynamics due to interplay of nonlinear AIMD (additive increase and multiplicative decrease) operation of TCP and stochastic user behavior, and robustly detect low observable targets from sea clutter radar returns with high accuracy. We also developed a new multiscale complexity measure, scale-dependent Lyapunov exponent (SDLE), that can be computed from short noisy data. The measure readily classified various types of complex motions, and simultaneously characterized behaviors of complex signals on a wide range of scales, including complex irregular behaviors on small scales, and orderly behaviors, such as oscillatory motions, on large scales.
Book Synopsis Multiscale Signal Processing by : Bernhard Claus
Download or read book Multiscale Signal Processing written by Bernhard Claus and published by . This book was released on 1992 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Multiscale Statistical Signal Processing by : M. Basseville
Download or read book Multiscale Statistical Signal Processing written by M. Basseville and published by . This book was released on 1989 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "In many applications (e.g. recognition of geophysical and biomedical signals and multiscale analysis of images), it is of interest to analyse and recognize phenomena occurring at different scales. The recently introduced wavelet transforms provide a time-and-scale decomposition of signals. But no corresponding statistical framework is currently available. Our purpose is to fill this gap. Our starting point is the theory of stationary processes on homogeneous trees which is shown to be the convenient framework for such a statistical multiscale signal processing. Here we introduce the corresponding system theory by investigating AR processes. This paper is a very short abstract of the report [7] intended to promote a widespread use of french."
Book Synopsis Multiscale Statistical Signal Processing by : MyoungJin Kim
Download or read book Multiscale Statistical Signal Processing written by MyoungJin Kim and published by . This book was released on 1992 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt:
