Vanishing Moments
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| Author | : Eric Schocket |
| Publisher | : University of Michigan Press |
| Total Pages | : 319 |
| Release | : 2010-02-09 |
| Genre | : Literary Criticism |
| ISBN | : 0472025708 |
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 | : Maarten H. Jansen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 160 |
| Release | : 2005-04-28 |
| Genre | : Computers |
| ISBN | : 9781852339166 |
Introduces "second generation wavelets" and the lifting transform that can be used to apply the traditional benefits of wavelets into a wide range of new areas in signal processing, data processing and computer graphics.
| Author | : María Cristina Pereyra |
| Publisher | : American Mathematical Soc. |
| Total Pages | : 437 |
| Release | : 2012 |
| Genre | : Mathematics |
| ISBN | : 0821875663 |
Conveys the remarkable beauty and applicability of the ideas that have grown from Fourier theory. It presents for an advanced undergraduate and beginning graduate student audience the basics of harmonic analysis, from Fourier's study of the heat equation, and the decomposition of functions into sums of cosines and sines (frequency analysis), to dyadic harmonic analysis, and the decomposition of functions into a Haar basis (time localization).
| Author | : Guy Nason |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 259 |
| Release | : 2010-07-25 |
| Genre | : Mathematics |
| ISBN | : 0387759611 |
This book contains information on how to tackle many important problems using a multiscale statistical approach. It focuses on how to use multiscale methods and discusses methodological and applied considerations.
| Author | : Stephane Mallat |
| Publisher | : Academic Press |
| Total Pages | : 829 |
| Release | : 2008-12-18 |
| Genre | : Technology & Engineering |
| ISBN | : 0080922023 |
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 UniversityThe 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 toolboxNew 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 exercisesA 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 | : Randall Allemang |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 779 |
| Release | : 2013-07-03 |
| Genre | : Technology & Engineering |
| ISBN | : 1461465850 |
Topics in Modal Analysis, Volume 7: Proceedings of the 31st IMAC, A Conference and Exposition on Structural Dynamics, 2013, the seventh volume of seven from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on: Fluid Structure Interaction Adaptive Structures Experimental Techniques Analytical Methods Damage Detection Damping of Materials & Members Modal Parameter Identification Modal Testing Methods System Identification Active Control Modal Parameter Estimation Processing Modal Data
| Author | : Murali Krishna P |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 223 |
| Release | : 2012-12-06 |
| Genre | : Technology & Engineering |
| ISBN | : 1461504996 |
This helpful book provides an overview of existing broadband traffic modelling based on the Poisson process and its variants. It also offers very good coverage of models based on self-similar processes. The authors have focused throughout on the problem of broadband traffic modelling.
| Author | : Abdeldjalil Ouahabi |
| Publisher | : John Wiley & Sons |
| Total Pages | : 260 |
| Release | : 2012-12-27 |
| Genre | : Technology & Engineering |
| ISBN | : 1118568664 |
Multiresolution analysis using the wavelet transform has received considerable attention in recent years by researchers in various fields. It is a powerful tool for efficiently representing signals and images at multiple levels of detail with many inherent advantages, including compression, level-of-detail display, progressive transmission, level-of-detail editing, filtering, modeling, fractals and multifractals, etc. This book aims to provide a simple formalization and new clarity on multiresolution analysis, rendering accessible obscure techniques, and merging, unifying or completing the technique with encoding, feature extraction, compressive sensing, multifractal analysis and texture analysis. It is aimed at industrial engineers, medical researchers, university lab attendants, lecturer-researchers and researchers from various specializations. It is also intended to contribute to the studies of graduate students in engineering, particularly in the fields of medical imaging, intelligent instrumentation, telecommunications, and signal and image processing. Given the diversity of the problems posed and addressed, this book paves the way for the development of new research themes, such as brain–computer interface (BCI), compressive sensing, functional magnetic resonance imaging (fMRI), tissue characterization (bones, skin, etc.) and the analysis of complex phenomena in general. Throughout the chapters, informative illustrations assist the uninitiated reader in better conceptualizing certain concepts, taking the form of numerous figures and recent applications in biomedical engineering, communication, multimedia, finance, etc.
| Author | : Dengsheng Zhang |
| Publisher | : Springer Nature |
| Total Pages | : 383 |
| Release | : 2021-06-25 |
| Genre | : Computers |
| ISBN | : 3030692515 |
This unique and useful textbook presents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the field. The coverage spans all aspects of image analysis and understanding, offering deep insights into areas of feature extraction, machine learning, and image retrieval. The theoretical coverage is supported by practical mathematical models and algorithms, utilizing data from real-world examples and experiments. Topics and features: Describes essential tools for image mining, covering Fourier transforms, Gabor filters, and contemporary wavelet transforms Develops many new exercises (most with MATLAB code and instructions) Includes review summaries at the end of each chapter Analyses state-of-the-art models, algorithms, and procedures for image mining Integrates new sections on pre-processing, discrete cosine transform, and statistical inference and testing Demonstrates how features like color, texture, and shape can be mined or extracted for image representation Applies powerful classification approaches: Bayesian classification, support vector machines, neural networks, and decision trees Implements imaging techniques for indexing, ranking, and presentation, as well as database visualization This easy-to-follow, award-winning book illuminates how concepts from fundamental and advanced mathematics can be applied to solve a broad range of image data mining problems encountered by students and researchers of computer science. Students of mathematics and other scientific disciplines will also benefit from the applications and solutions described in the text, together with the hands-on exercises that enable the reader to gain first-hand experience of computing.
| Author | : Carmen Hurley & |
| Publisher | : Scientific e-Resources |
| Total Pages | : 297 |
| Release | : 2018-11-11 |
| Genre | : |
| ISBN | : 1839473401 |
The idea of "e;ondelettes"e; or "e;wavelets"e; started from the investigation of time-frequency signal analysis, wave engendering, and examining hypothesis. One of the principle explanations behind the disclosure of wavelets and wavelet changes is that the Fourier change analysis does not contain the neighborhood data of signals. So the Fourier change can't be utilized for examining signals in a joint time and frequency area. In 1982, Jean MorIet, in a joint effort with a gathering of French designers, first presented the possibility of wavelets as a group of capacities built by utilizing interpretation and expansion of a solitary capacity, called the mother wavelet, for the analysis of nonstationary signals. Wavelet analysis is an energizing new technique for taking care of troublesome issues in science, material science, and building, with present day applications as various as wave spread, information pressure, picture preparing, design acknowledgment, PC illustrations, the location of air ship and submarines, and change in CAT filters and other restorative picture innovation. Wavelets permit complex data, for example, music, discourse, pictures, and examples to be deteriorated into basic structures, called the central building hinders, at various positions and scales and in this manner remade with high accuracy.
