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Author : Eric Schocket
Publisher : University of Michigan Press
Page : 319 pages
File Size : 42,7 Mb
Release : 2006-12-22
Category : Literary Criticism
ISBN : 9780472031870
Publisher description
Author : Martin J. Mohlenkamp,María Cristina Pereyra
Publisher : European Mathematical Society
Page : 124 pages
File Size : 51,8 Mb
Release : 2008
Category : Wavelets (Mathematics)
ISBN : 3037190183
These notes introduce the central concepts surrounding wavelets and their applications. By focusing on the essential ideas and arguments, the authors enable readers to get to the heart of the matter as quickly as possible. A list of references guides readers interested in further study to the appropriate places in the literature for detailed proofs and real applications. The authors begin with the notion of time-frequency analysis, present the multiresolution analysis and basic wavelet construction, introduce the many friends, relatives, and mutations of wavelets, and finally give a selection of applications. This book is suitable for beginning graduate students and above. A preliminary chapter containing some of the prerequisite concepts and definitions is included for reference.
Author : Chi-Wah Kok,Wing-Shan Tam
Publisher : John Wiley & Sons
Page : 229 pages
File Size : 42,6 Mb
Release : 2024-06-10
Category : Technology & Engineering
ISBN : 9781119617730
Presents a review of image denoising algorithms with practical MATLAB implementation guidance Digital Image Denoising in MATLAB provides a comprehensive treatment of digital image denoising, containing a variety of techniques with applications in high-quality photo enhancement as well as multi-dimensional signal processing problems such as array signal processing, radar signal estimation and detection, and more. Offering systematic guidance on image denoising in theories and in practice through MATLAB, this hands-on guide includes practical examples, chapter summaries, analytical and programming problems, computer simulations, and source codes for all algorithms discussed in the book. The book explains denoising algorithms including linear and nonlinear filtering, Wiener filtering, spatially adaptive and multi-channel processing, transform and wavelet domains processing, singular value decomposition, and various low variance optimization and low rank processing techniques. Throughout the text, the authors address the theory, analysis, and implementation of the denoising algorithms to help readers solve their image processing problems and develop their own solutions. Explains how the quality of an image can be quantified in MATLAB Discusses what constitutes a “naturally looking” image in subjective and analytical terms Presents denoising techniques for a wide range of digital image processing applications Describes the use of denoising as a pre-processing tool for various signal processing applications or big data analysis Requires only a fundamental knowledge of digital signal processing Includes access to a companion website with source codes, exercises, and additional resources Digital Image Denoising in MATLAB is an excellent textbook for undergraduate courses in digital image processing, recognition, and statistical signal processing, and a highly useful reference for researchers and engineers working with digital images, digital video, and other applications requiring denoising techniques.
Author : Stephane Mallat
Publisher : Academic Press
Page : 829 pages
File Size : 53,6 Mb
Release : 2008-12-18
Category : Technology & Engineering
ISBN : 9780080922027
Mallat's book is the undisputed reference in this field - it is the only one that covers the essential material in such breadth and depth. - Laurent Demanet, Stanford University The new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while coverage is given to sparse representations in redundant dictionaries, super-resolution and compressive sensing applications. Features: * Balances presentation of the mathematics with applications to signal processing * Algorithms and numerical examples are implemented in WaveLab, a MATLAB toolbox New in this edition * Sparse signal representations in dictionaries * Compressive sensing, super-resolution and source separation * Geometric image processing with curvelets and bandlets * Wavelets for computer graphics with lifting on surfaces * Time-frequency audio processing and denoising * Image compression with JPEG-2000 * New and updated exercises A Wavelet Tour of Signal Processing: The Sparse Way, Third Edition, is an invaluable resource for researchers and R&D engineers wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering. Stephane Mallat is Professor in Applied Mathematics at École Polytechnique, Paris, France. From 1986 to 1996 he was a Professor at the Courant Institute of Mathematical Sciences at New York University, and between 2001 and 2007, he co-founded and became CEO of an image processing semiconductor company. Includes all the latest developments since the book was published in 1999, including its application to JPEG 2000 and MPEG-4 Algorithms and numerical examples are implemented in Wavelab, a MATLAB toolbox Balances presentation of the mathematics with applications to signal processing
Author : Yunping Wang,Yiu-ming Cheung,Hailin Liu
Publisher : Springer
Page : 1118 pages
File Size : 40,9 Mb
Release : 2007-09-13
Category : Computers
ISBN : 9783540743774
The refereed post-proceedings of the International Conference on Computational Intelligence and Security are presented in this volume. The 116 papers were submitted to two rounds of careful review. Papers cover bio-inspired computing, evolutionary computation, learning systems and multi-agents, cryptography, information processing and intrusion detection, systems and security, image and signal processing, and pattern recognition.
Author : Paul Gemperline
Publisher : CRC Press
Page : 552 pages
File Size : 45,5 Mb
Release : 2006-04-16
Category : Mathematics
ISBN : 9781420018301
The limited coverage of data analysis and statistics offered in most undergraduate and graduate analytical chemistry courses is usually focused on practical aspects of univariate methods. Drawing in real-world examples, Practical Guide to Chemometrics, Second Edition offers an accessible introduction to application-oriented multivariate meth
Author : Eric Schocket
Publisher : University of Michigan Press
Page : 328 pages
File Size : 48,8 Mb
Release : 2006-12-22
Category : Literary Criticism
ISBN : 0472115693
Vanishing Moments analyzes how various American authors have reified class through their writing, from the first influx of industrialism in the 1850s to the end of the Great Depression in the early 1940s. Eric Schocket uses this history to document America’s long engagement with the problem of class stratification and demonstrates how deeply America’s desire to deny the presence of class has marked even its most labor-conscious cultural texts. Schocket offers careful readings of works by Herman Melville, Rebecca Harding Davis, William Dean Howells, Jack London, T. S. Eliot, Gertrude Stein, Muriel Rukeyser, and Langston Hughes, among others, and explores how these authors worked to try to heal the rift between the classes. He considers the challenges writers faced before the Civil War in developing a language of class amidst the predominant concerns about race and slavery; how early literary realists dealt with the threat of class insurrection; how writers at the turn of the century attempted to span the divide between the classes by going undercover as workers; how early modernists used working-class characters and idioms to shape their aesthetic experiments; and how leftists in the 1930s struggled to develop an adequate model to connect class and literature. Vanishing Moments’ unique combination of a broad historical scope and in-depth readings makes it an essential book for scholars and students of American literature and culture, as well as for political scientists, economists, and humanists. Eric Schocket is Associate Professor of American Literature at Hampshire College. “An important book containing many brilliant arguments—hard-hitting and original. Schocket demonstrates a sophisticated acquaintance with issues within the working-class studies movement.” --Barbara Foley, Rutgers University
Author : Jaakko Astola,Leonid Yaroslavsky
Publisher : Hindawi Publishing Corporation
Page : 425 pages
File Size : 53,9 Mb
Release : 2007
Category : Electronic books
ISBN : 9789775945556
"Digital signal transforms are of a fundamental value in digital signal and image processing. Their role is manifold. Transforms selected appropriately enable substantial compressing signals and images for storage and transmission. No signal recovery, image reconstruction and restoration task can be efficiently solved without using digital signal transforms. Transforms are successfully used for logic design and digital data encryption. Fast transforms are the main tools for acceleration of computations in digital signal and image processing. The volume collects in one book most recent developments in the theory and practice of the design and usage of transforms in digital signal and image processing. It emerged from the series of reports published by Tampere International Centre for Signal Processing, Tampere University of Technology. For the volume, all contributions are appropriately updated to represent the state of the art in the field and to cover the most recent developments in different aspects of the theory and applications of transforms. The book consists of two parts that represent two major directions in the field: development of new transforms and development of transform based signal and image processing algorithms. The first part contains four chapters devoted to recent advances in transforms for image compression and switching and logic design and to new fast transforms for digital holography and tomography. In the second part, advanced transform based signal and image algorithms are considered: signal and image local adaptive restoration methods and two complementing families of signal and image re-sampling algorithms, fast transform based discrete sinc-interpolation and spline theory based ones."--Publisher.
Author : Mesut Gökten,Atef Elsherbeni,Ercument Arvas
Publisher : Springer Nature
Page : 124 pages
File Size : 44,7 Mb
Release : 2022-06-01
Category : Technology & Engineering
ISBN : 9783031017148
In this book, a general frequency domain numerical method similar to the finite difference frequency domain (FDFD) technique is presented. The proposed method, called the multiresolution frequency domain (MRFD) technique, is based on orthogonal Battle-Lemarie and biorthogonal Cohen-Daubechies-Feauveau (CDF) wavelets. The objective of developing this new technique is to achieve a frequency domain scheme which exhibits improved computational efficiency figures compared to the traditional FDFD method: reduced memory and simulation time requirements while retaining numerical accuracy. The newly introduced MRFD scheme is successfully applied to the analysis of a number of electromagnetic problems, such as computation of resonance frequencies of one and three dimensional resonators, analysis of propagation characteristics of general guided wave structures, and electromagnetic scattering from two dimensional dielectric objects. The efficiency characteristics of MRFD techniques based on different wavelets are compared to each other and that of the FDFD method. Results indicate that the MRFD techniques provide substantial savings in terms of execution time and memory requirements, compared to the traditional FDFD method. Table of Contents: Introduction / Basics of the Finite Difference Method and Multiresolution Analysis / Formulation of the Multiresolution Frequency Domain Schemes / Application of MRFD Formulation to Closed Space Structures / Application of MRFD Formulation to Open Space Structures / A Multiresolution Frequency Domain Formulation for Inhomogeneous Media / Conclusion
Author : William S. Allen
Publisher : Bloomsbury Publishing USA
Page : 303 pages
File Size : 54,9 Mb
Release : 2021-06-03
Category : Literary Criticism
ISBN : 9781501376764
The philosophical significance of Maurice Blanchot's writings has rarely been in doubt. Specifying the nature and implications of his thinking has proved much less easy, particularly in reference to the key figure of G. W. F. Hegel. Examination reveals that Blanchot's thinking is persistently oriented towards a questioning of the terms of Hegel's thought, while nevertheless remaining within its themes, whichshows how rigorously he studied Hegel's works but also how radical his critique of them became. Equally, it allows for a crucial discussion of the differences between Blanchot's responses to Hegel and those of Jacques Derrida, with the implicit suggestion that in some ways Blanchot's critique of Hegel is more far-reaching than that developed by Derrida. William S. Allen demonstrates those aspects of Hegelian thought that permeate Blanchot's writings and, in turn, develops a detailed three-way analysis of Derrida, Hegel, and Blanchot. The key question around which this analysis develops is that of the relation between thought and language concerning the issue of the infinite and its legibility. Illegibility introduces a new and substantially philosophical account of Blanchot's importance, and also showshow his writings laid the ground for Derrida's workswhile developing their own uniquely challenging response to the problems of post-Hegelian thought.
Author : George Antoniou,Dorothy Deremer
Publisher : World Scientific
Page : 497 pages
File Size : 51,7 Mb
Release : 2001-08-28
Category : Computers
ISBN : 9789814490054
This book is a balanced presentation of the latest techniques, algorithms and applications in computer science and engineering. The papers, written by eminent researchers in their fields, provide a vehicle for new research and development.The proceedings have been selected for coverage in:• Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)
Author : Jaime Delgado,Paolo Nesi,Kia Ng
Publisher : Institute of Electrical & Electronics Engineers(IEEE)
Page : 200 pages
File Size : 53,8 Mb
Release : 2004
Category : Computers
ISBN : UOM:39015057508437
Twenty-three papers from the September 2004 conference present new developments in audio processing, music notation, music analysis, music distribution, digital rights management, security, and business models. The three music analysis papers present an audio tool for the chromatic indexing of music, a compression-based method for hierarchical music clustering, and a leadsheet model for content-based audio identification. Other topics include MPEG-21 and music notation applications, the secure representation of multimedia content licenses, a collaborative music DJ for ad hoc networks, and the impact of legal download services. The contributors are industry and academic researchers in Europe. There is no subject index. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com).
Author : Norden Eh Huang,Samuel S. Shen
Publisher : World Scientific
Page : 326 pages
File Size : 45,8 Mb
Release : 2005
Category : Mathematics
ISBN : 9789812703347
The HilbertOCoHuang Transform (HHT) represents a desperate attempt to break the suffocating hold on the field of data analysis by the twin assumptions of linearity and stationarity. Unlike spectrograms, wavelet analysis, or the WignerOCoVille Distribution, HHT is truly a time-frequency analysis, but it does not require an a priori functional basis and, therefore, the convolution computation of frequency. The method provides a magnifying glass to examine the data, and also offers a different view of data from nonlinear processes, with the results no longer shackled by spurious harmonics OCo the artifacts of imposing a linearity property on a nonlinear system or of limiting by the uncertainty principle, and a consequence of Fourier transform pairs in data analysis. This is the first HHT book containing papers covering a wide variety of interests. The chapters are divided into mathematical aspects and applications, with the applications further grouped into geophysics, structural safety and visualization.
Author : Ingrid Daubechies
Publisher : SIAM
Page : 369 pages
File Size : 51,7 Mb
Release : 1992-06-01
Category : Science
ISBN : 9780898712742
Mathematics of Computing -- Miscellaneous.
Author : Nikos Paragios,Yunmei Chen,Olivier D. Faugeras
Publisher : Springer Science & Business Media
Page : 612 pages
File Size : 48,8 Mb
Release : 2006-01-16
Category : Computers
ISBN : 9780387288314
Abstract Biological vision is a rather fascinating domain of research. Scientists of various origins like biology, medicine, neurophysiology, engineering, math ematics, etc. aim to understand the processes leading to visual perception process and at reproducing such systems. Understanding the environment is most of the time done through visual perception which appears to be one of the most fundamental sensory abilities in humans and therefore a significant amount of research effort has been dedicated towards modelling and repro ducing human visual abilities. Mathematical methods play a central role in this endeavour. Introduction David Marr's theory v^as a pioneering step tov^ards understanding visual percep tion. In his view human vision was based on a complete surface reconstruction of the environment that was then used to address visual subtasks. This approach was proven to be insufficient by neuro-biologists and complementary ideas from statistical pattern recognition and artificial intelligence were introduced to bet ter address the visual perception problem. In this framework visual perception is represented by a set of actions and rules connecting these actions. The emerg ing concept of active vision consists of a selective visual perception paradigm that is basically equivalent to recovering from the environment the minimal piece information required to address a particular task of interest.
