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Deconvolution
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Book Synopsis Deconvolution of Images and Spectra by : Peter A. Jansson
Download or read book Deconvolution of Images and Spectra written by Peter A. Jansson and published by Courier Corporation. This book was released on 2014-05-05 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deconvolution is a technique in signal or image processing that is applied to recover information. When it is employed, it is usually because instrumental effects of spreading and blurring have obscured that information. In 1996, Deconvolution of Images and Spectra was published (Academic Press) as a second edition of Jansson's 1984 book, Deconvolution with Applications in Spectroscopy. This landmark volume was first published to provide both an overview of the field, and practical methods and results. The present Dover edition is a corrected reprinting of the second edition. It incorporates all the advantages of its predecessors by conveying a clear understanding of the field while providing a selection of effective, practical techniques. The authors assume only a working knowledge of calculus, and emphasize practical applications over topics of theoretical interest, focusing on areas that have been pivotal to the evolution of the most effective methods. This tutorial is essentially self-contained. Readers will find it practical and easy to understand.
Book Synopsis Deconvolution Problems in Nonparametric Statistics by : Alexander Meister
Download or read book Deconvolution Problems in Nonparametric Statistics written by Alexander Meister and published by Springer Science & Business Media. This book was released on 2009-12-24 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deconvolution problems occur in many ?elds of nonparametric statistics, for example, density estimation based on contaminated data, nonparametric - gression with errors-in-variables, image and signal deblurring. During the last two decades, those topics have received more and more attention. As appli- tions of deconvolution procedures concern many real-life problems in eco- metrics, biometrics, medical statistics, image reconstruction, one can realize an increasing number of applied statisticians who are interested in nonpa- metric deconvolution methods; on the other hand, some deep results from Fourier analysis, functional analysis, and probability theory are required to understand the construction of deconvolution techniques and their properties so that deconvolution is also particularly challenging for mathematicians. Thegeneraldeconvolutionprobleminstatisticscanbedescribedasfollows: Our goal is estimating a function f while any empirical access is restricted to some quantity h = f?G = f(x?y)dG(y), (1. 1) that is, the convolution of f and some probability distribution G. Therefore, f can be estimated from some observations only indirectly. The strategy is ˆ estimating h ?rst; this means producing an empirical version h of h and, then, ˆ applying a deconvolution procedure to h to estimate f. In the mathematical context, we have to invert the convolution operator with G where some reg- ˆ ularization is required to guarantee that h is contained in the invertibility ˆ domain of the convolution operator. The estimator h has to be chosen with respect to the speci?c statistical experiment.
Book Synopsis Deconvolution of Geophysical Time Series in the Exploration for Oil and Natural Gas by : M.T. Silvia
Download or read book Deconvolution of Geophysical Time Series in the Exploration for Oil and Natural Gas written by M.T. Silvia and published by Elsevier. This book was released on 1979-01-01 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deconvolution of Geophysical Time Series in the Exploration for Oil and Natural Gas
Book Synopsis Blind Image Deconvolution by : Patrizio Campisi
Download or read book Blind Image Deconvolution written by Patrizio Campisi and published by CRC Press. This book was released on 2017-12-19 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blind image deconvolution is constantly receiving increasing attention from the academic as well the industrial world due to both its theoretical and practical implications. The field of blind image deconvolution has several applications in different areas such as image restoration, microscopy, medical imaging, biological imaging, remote sensing, astronomy, nondestructive testing, geophysical prospecting, and many others. Blind Image Deconvolution: Theory and Applications surveys the current state of research and practice as presented by the most recognized experts in the field, thus filling a gap in the available literature on blind image deconvolution. Explore the gamut of blind image deconvolution approaches and algorithms that currently exist and follow the current research trends into the future. This comprehensive treatise discusses Bayesian techniques, single- and multi-channel methods, adaptive and multi-frame techniques, and a host of applications to multimedia processing, astronomy, remote sensing imagery, and medical and biological imaging at the whole-body, small-part, and cellular levels. Everything you need to step into this dynamic field is at your fingertips in this unique, self-contained masterwork. For image enhancement and restoration without a priori information, turn to Blind Image Deconvolution: Theory and Applications for the knowledge and techniques you need to tackle real-world problems.
Book Synopsis Maximum-Likelihood Deconvolution by : Jerry M. Mendel
Download or read book Maximum-Likelihood Deconvolution written by Jerry M. Mendel and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Convolution is the most important operation that describes the behavior of a linear time-invariant dynamical system. Deconvolution is the unraveling of convolution. It is the inverse problem of generating the system's input from knowledge about the system's output and dynamics. Deconvolution requires a careful balancing of bandwidth and signal-to-noise ratio effects. Maximum-likelihood deconvolution (MLD) is a design procedure that handles both effects. It draws upon ideas from Maximum Likelihood, when unknown parameters are random. It leads to linear and nonlinear signal processors that provide high-resolution estimates of a system's input. All aspects of MLD are described, from first principles in this book. The purpose of this volume is to explain MLD as simply as possible. To do this, the entire theory of MLD is presented in terms of a convolutional signal generating model and some relatively simple ideas from optimization theory. Earlier approaches to MLD, which are couched in the language of state-variable models and estimation theory, are unnecessary to understand the essence of MLD. MLD is a model-based signal processing procedure, because it is based on a signal model, namely the convolutional model. The book focuses on three aspects of MLD: (1) specification of a probability model for the system's measured output; (2) determination of an appropriate likelihood function; and (3) maximization of that likelihood function. Many practical algorithms are obtained. Computational aspects of MLD are described in great detail. Extensive simulations are provided, including real data applications.
Book Synopsis Digital Imaging and Deconvolution by : Enders A. Robinson
Download or read book Digital Imaging and Deconvolution written by Enders A. Robinson and published by SEG Books. This book was released on 2008 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering ideas and methods while concentrating on fundamentals, this book includes wave motion; digital imaging; digital filtering; visualization aspects of the seismic reflection method; sampling theory; the frequency spectrum; synthetic seismograms; wavelet processing; deconvolution; seismic attributes; phase rotation; and seismic attenuation.
Book Synopsis Statistical Property of the Earth Reflectivity and Fractal Seismic Deconvolution by : Myung W. Lee
Download or read book Statistical Property of the Earth Reflectivity and Fractal Seismic Deconvolution written by Myung W. Lee and published by . This book was released on 1995 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Blind Image Deconvolution by : Subhasis Chaudhuri
Download or read book Blind Image Deconvolution written by Subhasis Chaudhuri and published by Springer. This book was released on 2014-09-22 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blind deconvolution is a classical image processing problem which has been investigated by a large number of researchers over the last four decades. The purpose of this monograph is not to propose yet another method for blind image restoration. Rather the basic issue of deconvolvability has been explored from a theoretical view point. Some authors claim very good results while quite a few claim that blind restoration does not work. The authors clearly detail when such methods are expected to work and when they will not. In order to avoid the assumptions needed for convergence analysis in the Fourier domain, the authors use a general method of convergence analysis used for alternate minimization based on three point and four point properties of the points in the image space. The authors prove that all points in the image space satisfy the three point property and also derive the conditions under which four point property is satisfied. This provides the conditions under which alternate minimization for blind deconvolution converges with a quadratic prior. Since the convergence properties depend on the chosen priors, one should design priors that avoid trivial solutions. Hence, a sparsity based solution is also provided for blind deconvolution, by using image priors having a cost that increases with the amount of blur, which is another way to prevent trivial solutions in joint estimation. This book will be a highly useful resource to the researchers and academicians in the specific area of blind deconvolution.
Book Synopsis Deconvolution of Absorption Spectra by : William Blass
Download or read book Deconvolution of Absorption Spectra written by William Blass and published by Elsevier. This book was released on 2012-12-02 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deconvolution of Absorption Spectra describes the concept and application of signal recovery using deconvolution of absorption spectra, particularly from signal and frequency space. This book contains 13 chapters and begins with an overview of the concept and application of physical measurement systems. The succeeding chapters deal with the deconvolution in signal space, solutions for fundamentally linear methods, the application of the Jansson algorithm, and tests for the validity and reliability of deconvolution results of high-quality infrared absorption spectra. These topics are followed by discussions of the influence of noise problems, the complete case history of a deconvulated data run, and the validity of deconvolved line intensities. The last chapters summarize the performance, advantages, and limitations of deconvolution technique. This book will prove useful to physical scientists, geophysicists, electrical engineers, and statisticians.
Book Synopsis Deconvolution and Inverse Theory by : V. Dimri
Download or read book Deconvolution and Inverse Theory written by V. Dimri and published by Elsevier. This book was released on 2013-10-22 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first study to present simultaneously both deconvolution and inversion, two powerful tools of data analysis. Featured within this volume are various geophysical convolution models and a treatment of deconvolution for a time-varying signal. The single channel time-varying deconvolution is shown equivalent to the multichannel time-invariant deconvolution, thus a formalism and associated algorithms can handle both. Inverse theory as well as various inversion schemes are presented on the basis of a relationship between a small perturbation to the model and its effects on the observation. The information theory inversion scheme is discussed, and several types of norm of minimization presented. Additionally, concepts and results of inverse theory are applied to design a new deconvolution operator for estimating magnetization and density distribution, and the constraint of the Backus-Gilbert formalism of inverse theory is used to design a new prediction error filter for maximum entropy spectral estimates. Maximum likelihood, another high resolution method is also presented. This volume can be utilised as a graduate-level text for courses in Geophysics. Some chapters will be of use for graduate courses in Applied Mathematics, Applied Statistics, and Oceanography.
Book Synopsis Optimal Seismic Deconvolution by : Jerry M. Mendel
Download or read book Optimal Seismic Deconvolution written by Jerry M. Mendel and published by Elsevier. This book was released on 2013-09-03 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal Seismic Deconvolution: An Estimation-Based Approach presents an approach to the problem of seismic deconvolution. It is meant for two different audiences: practitioners of recursive estimation theory and geophysical signal processors. The book opens with a chapter on elements of minimum-variance estimation that are essential for all later developments. Included is a derivation of the Kaiman filter and discussions of prediction and smoothing. Separate chapters follow on minimum-variance deconvolution; maximum-likelihood and maximum a posteriori estimation methods; the philosophy of maximum-likelihood deconvolution (MLD); and two detection procedures for determining the location parameters in the input sequence product model. Subsequent chapters deal with the problem of estimating the parameters of the source wavelet when everything else is assumed known a priori; estimation of statistical parameters when the source wavelet is known a priori; and a different block component method for simultaneously estimating all wavelet and statistical parameters, detecting input signal occurrence times, and deconvolving a seismic signal. The final chapter shows how to incorporate the simplest of all models—the normal incidence model—into the maximum-likelihood deconvolution procedure.
Book Synopsis Approximate Deconvolution Models of Turbulence by : William J. Layton
Download or read book Approximate Deconvolution Models of Turbulence written by William J. Layton and published by Springer. This book was released on 2012-01-06 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a mathematical development of a recent approach to the modeling and simulation of turbulent flows based on methods for the approximate solution of inverse problems. The resulting Approximate Deconvolution Models or ADMs have some advantages over more commonly used turbulence models – as well as some disadvantages. Our goal in this book is to provide a clear and complete mathematical development of ADMs, while pointing out the difficulties that remain. In order to do so, we present the analytical theory of ADMs, along with its connections, motivations and complements in the phenomenology of and algorithms for ADMs.
Book Synopsis Blind Deconvolution by : Simon S. Haykin
Download or read book Blind Deconvolution written by Simon S. Haykin and published by Prentice Hall. This book was released on 1994 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to the study of the blind deconvolution problem - where it is impractical to assume the availability of the system input. It considers a variety of blind deconvolution/equalization algorithms - with computer simulation experiments to support the theory.
Book Synopsis Digital Signal Processing: A Practical Guide for Engineers and Scientists by : Steven Smith
Download or read book Digital Signal Processing: A Practical Guide for Engineers and Scientists written by Steven Smith and published by Newnes. This book was released on 2003 with total page 666 pages. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM contains source code listings, problem sets, and an eBook version with full text search
Book Synopsis Seismic Inversion & Deconvolution by : Enders A. Robinson
Download or read book Seismic Inversion & Deconvolution written by Enders A. Robinson and published by . This book was released on 1984 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Novel Pooling-deconvolution Strategy for Biological Network Elucidation by : Fulai Jin
Download or read book A Novel Pooling-deconvolution Strategy for Biological Network Elucidation written by Fulai Jin and published by . This book was released on 2007 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Metabolomics in Practice by : Michael Lämmerhofer
Download or read book Metabolomics in Practice written by Michael Lämmerhofer and published by John Wiley & Sons. This book was released on 2013-02-14 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlike other handbooks in this emerging field, this guide focuses on the challenges and critical parameters in running a metabolomics study, including such often-neglected issues as sample preparation, choice of separation and detection method, recording and evaluating data as well as method validation. By systematically covering the entire workflow, from sample preparation to data processing, the insight and advice offered here helps to clear the hurdles in setting up and running a successful analysis, resulting in high-quality data from every experiment. Based on more than a decade of practical experience in developing, optimizing and validating metabolomics approaches as a routine technology in the academic and industrial research laboratory, the lessons taught here are highly relevant for all systems-level approaches, whether in systems biology, biotechnology, toxicology or pharmaceutical sciences. From the Contents: * Sampling and Sample Preparation in Microbial Metabolomics * Tandem Mass Spectrometry Hyphenated with HPLC and UHPLC for Targeted Metabolomics * GC-MS, LC-MS, CE-MS and Ultrahigh Resolution MS (FTICR-MS) in Metabolomics * NMR-based metabolomics analysis * Potential of Microfluidics and Single Cell Analysis in Metabolomics * Data Processing in Metabolomics * Validation and Measurement Uncertainty in Metabolomic Studies * Metabolomics and its Role in the Study of Mammalian Systems and in Plant Sciences * Metabolomics in Biotechnology and Nutritional Metabolomics and more.
