Multiscale Signal Processing PDF Download
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Author | : Xiaoping Shen |
Publisher | : Springer Science & Business Media |
Total Pages | : 388 |
Release | : 2012-09-18 |
Genre | : Technology & Engineering |
ISBN | : 1461441455 |
Download Multiscale Signal Analysis and Modeling Book in PDF, ePub and Kindle
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.
Author | : |
Publisher | : Springer |
Total Pages | : 398 |
Release | : 2012-09-19 |
Genre | : |
ISBN | : 9781461441465 |
Download Multiscale Signal Analysis and Modeling Book in PDF, ePub and Kindle
Author | : Taylor & Francis Group |
Publisher | : |
Total Pages | : |
Release | : 2018-09-30 |
Genre | : |
ISBN | : 9781315898582 |
Download Wavelets and Multiscale Signal Processing Book in PDF, ePub and Kindle
Author | : Albert Cohen |
Publisher | : Springer |
Total Pages | : 256 |
Release | : 1995-09 |
Genre | : Computers |
ISBN | : |
Download Wavelets and Multiscale Signal Processing Book in PDF, ePub and Kindle
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.
Author | : Jean-Luc Starck |
Publisher | : Cambridge University Press |
Total Pages | : 449 |
Release | : 2015-10-14 |
Genre | : Computers |
ISBN | : 1107088062 |
Download Sparse Image and Signal Processing Book in PDF, ePub and Kindle
Presents state-of-the-art sparse and multiscale image and signal processing with applications in astronomy, biology, MRI, media, and forensics.
Author | : Kenneth Chien-ko Chou |
Publisher | : |
Total Pages | : 265 |
Release | : 1991 |
Genre | : Signal processing |
ISBN | : |
Download A Stochastic Modeling Approach to Multiscale Signal Processing Book in PDF, ePub and Kindle
Author | : Aparna Vyas |
Publisher | : Springer |
Total Pages | : 258 |
Release | : 2017-12-05 |
Genre | : Technology & Engineering |
ISBN | : 9811072728 |
Download Multiscale Transforms with Application to Image Processing Book in PDF, ePub and Kindle
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.
Author | : Kenneth Chien-ko Chou |
Publisher | : |
Total Pages | : 530 |
Release | : 1991 |
Genre | : |
ISBN | : |
Download A Stochastic Modelling Approach to Multiscale Signal Processing Book in PDF, ePub and Kindle
Author | : Stephane Mallat |
Publisher | : Palala Press |
Total Pages | : 76 |
Release | : 2015-09-08 |
Genre | : |
ISBN | : 9781341996368 |
Download Characterization of Signals from Multiscale Edges Book in PDF, ePub and Kindle
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.
Author | : Jean-Luc Starck |
Publisher | : Cambridge University Press |
Total Pages | : 449 |
Release | : 2015-10-14 |
Genre | : Computers |
ISBN | : 1316483304 |
Download Sparse Image and Signal Processing Book in PDF, ePub and Kindle
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.