Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download A Stochastic Modeling Approach To Multiscale Signal Processing full books in PDF, epub, and Kindle. Read online A Stochastic Modeling Approach To Multiscale Signal Processing ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Kenneth Chien-ko Chou
Publisher :
ISBN 13 :
Total Pages : 265 pages
Book Rating : 4.:/5 (243 download)
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:
Author : Kenneth Chien-ko Chou
Publisher :
ISBN 13 :
Total Pages : 530 pages
Book Rating : 4.:/5 (246 download)
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:
Author : Kenneth Chien-ko Chou
Publisher :
ISBN 13 :
Total Pages : 265 pages
Book Rating : 4.:/5 (242 download)
Download or read book A Stochastic Modeling Appraoch 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:
Author : Xiaoping Shen
Publisher : Springer Science & Business Media
ISBN 13 : 1461441455
Total Pages : 388 pages
Book Rating : 4.4/5 (614 download)
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.
Author :
Publisher : Springer
ISBN 13 : 9781461441465
Total Pages : 398 pages
Book Rating : 4.4/5 (414 download)
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:
Author : Michèle Basseville
Publisher :
ISBN 13 :
Total Pages : 16 pages
Book Rating : 4.:/5 (2 download)
Download or read book Multiscale Statistical Signal Processing written by Michèle Basseville and published by . This book was released on 1989 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jianbo Gao
Publisher : John Wiley & Sons
ISBN 13 : 0470191643
Total Pages : 368 pages
Book Rating : 4.4/5 (71 download)
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.
Author : Taylor & Francis Group
Publisher :
ISBN 13 : 9781315898582
Total Pages : pages
Book Rating : 4.8/5 (985 download)
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:
Author : Frerich Keil
Publisher : Springer Science & Business Media
ISBN 13 : 9783540658511
Total Pages : 442 pages
Book Rating : 4.6/5 (585 download)
Download or read book Scientific Computing in Chemical Engineering II written by Frerich Keil and published by Springer Science & Business Media. This book was released on 1999-05-19 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of modern methods in numerical mathematics on problems in chemical engineering is essential for designing, analyzing and running chemical processes and even entire plants. Scientific Computing in Chemical Engineering II gives the state of the art from the point of view of numerical mathematicians as well as that of engineers. The present volume as part of a two-volume edition covers topics such as computer-aided process design, combustion and flame, image processing, optimization, control, and neural networks. The volume is aimed at scientists, practitioners and graduate students in chemical engineering, industrial engineering and numerical mathematics.
Author : Paul Fieguth
Publisher : Springer Science & Business Media
ISBN 13 : 1441972943
Total Pages : 465 pages
Book Rating : 4.4/5 (419 download)
Download or read book Statistical Image Processing and Multidimensional Modeling written by Paul Fieguth and published by Springer Science & Business Media. This book was released on 2010-10-17 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Images are all around us! The proliferation of low-cost, high-quality imaging devices has led to an explosion in acquired images. When these images are acquired from a microscope, telescope, satellite, or medical imaging device, there is a statistical image processing task: the inference of something—an artery, a road, a DNA marker, an oil spill—from imagery, possibly noisy, blurry, or incomplete. A great many textbooks have been written on image processing. However this book does not so much focus on images, per se, but rather on spatial data sets, with one or more measurements taken over a two or higher dimensional space, and to which standard image-processing algorithms may not apply. There are many important data analysis methods developed in this text for such statistical image problems. Examples abound throughout remote sensing (satellite data mapping, data assimilation, climate-change studies, land use), medical imaging (organ segmentation, anomaly detection), computer vision (image classification, segmentation), and other 2D/3D problems (biological imaging, porous media). The goal, then, of this text is to address methods for solving multidimensional statistical problems. The text strikes a balance between mathematics and theory on the one hand, versus applications and algorithms on the other, by deliberately developing the basic theory (Part I), the mathematical modeling (Part II), and the algorithmic and numerical methods (Part III) of solving a given problem. The particular emphases of the book include inverse problems, multidimensional modeling, random fields, and hierarchical methods.
Author : Shunlin Liang
Publisher : Elsevier
ISBN 13 : 0128032219
Total Pages : 3183 pages
Book Rating : 4.1/5 (28 download)
Download or read book Comprehensive Remote Sensing written by Shunlin Liang and published by Elsevier. This book was released on 2017-11-08 with total page 3183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive Remote Sensing, Nine Volume Set covers all aspects of the topic, with each volume edited by well-known scientists and contributed to by frontier researchers. It is a comprehensive resource that will benefit both students and researchers who want to further their understanding in this discipline. The field of remote sensing has quadrupled in size in the past two decades, and increasingly draws in individuals working in a diverse set of disciplines ranging from geographers, oceanographers, and meteorologists, to physicists and computer scientists. Researchers from a variety of backgrounds are now accessing remote sensing data, creating an urgent need for a one-stop reference work that can comprehensively document the development of remote sensing, from the basic principles, modeling and practical algorithms, to various applications. Fully comprehensive coverage of this rapidly growing discipline, giving readers a detailed overview of all aspects of Remote Sensing principles and applications Contains ‘Layered content’, with each article beginning with the basics and then moving on to more complex concepts Ideal for advanced undergraduates and academic researchers Includes case studies that illustrate the practical application of remote sensing principles, further enhancing understanding
Author : Serguei Primak
Publisher : John Wiley & Sons
ISBN 13 : 0470021179
Total Pages : 446 pages
Book Rating : 4.4/5 (7 download)
Download or read book Stochastic Methods and their Applications to Communications written by Serguei Primak and published by John Wiley & Sons. This book was released on 2005-01-28 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Methods & their Applications to Communications presents a valuable approach to the modelling, synthesis and numerical simulation of random processes with applications in communications and related fields. The authors provide a detailed account of random processes from an engineering point of view and illustrate the concepts with examples taken from the communications area. The discussions mainly focus on the analysis and synthesis of Markov models of random processes as applied to modelling such phenomena as interference and fading in communications. Encompassing both theory and practice, this original text provides a unified approach to the analysis and generation of continuous, impulsive and mixed random processes based on the Fokker-Planck equation for Markov processes. Presents the cumulated analysis of Markov processes Offers a SDE (Stochastic Differential Equations) approach to the generation of random processes with specified characteristics Includes the modelling of communication channels and interfer ences using SDE Features new results and techniques for the of solution of the generalized Fokker-Planck equation Essential reading for researchers, engineers, and graduate and upper year undergraduate students in the field of communications, signal processing, control, physics and other areas of science, this reference will have wide ranging appeal.
Author : M. Ibrahim Sezan
Publisher : Springer Science & Business Media
ISBN 13 : 1461532361
Total Pages : 499 pages
Book Rating : 4.4/5 (615 download)
Download or read book Motion Analysis and Image Sequence Processing written by M. Ibrahim Sezan and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: An image or video sequence is a series of two-dimensional (2-D) images sequen tially ordered in time. Image sequences can be acquired, for instance, by video, motion picture, X-ray, or acoustic cameras, or they can be synthetically gen erated by sequentially ordering 2-D still images as in computer graphics and animation. The use of image sequences in areas such as entertainment, visual communications, multimedia, education, medicine, surveillance, remote control, and scientific research is constantly growing as the use of television and video systems are becoming more and more common. The boosted interest in digital video for both consumer and professional products, along with the availability of fast processors and memory at reasonable costs, has been a major driving force behind this growth. Before we elaborate on the two major terms that appear in the title of this book, namely motion analysis and image sequence processing, we like to place them in their proper contexts within the range of possible operations that involve image sequences. In this book, we choose to classify these operations into three major categories, namely (i) image sequence processing, (ii) image sequence analysis, and (iii) visualization. The interrelationship among these three categories is pictorially described in Figure 1 below in the form of an "image sequence triangle".
Author : Yves Meyer
Publisher : Atlantica Séguier Frontières
ISBN 13 : 9782863321300
Total Pages : 808 pages
Book Rating : 4.3/5 (213 download)
Download or read book Progress in Wavelet Analysis and Applications written by Yves Meyer and published by Atlantica Séguier Frontières. This book was released on 1993 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Dewey Stanton Tucker
Publisher :
ISBN 13 :
Total Pages : 252 pages
Book Rating : 4.:/5 (77 download)
Download or read book Stochastic Realization Theory for Exact and Approximate Multiscale Models written by Dewey Stanton Tucker and published by . This book was released on 2005 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: The thesis provides a detailed analysis of the independence structure possessed by multiscale models and demonstrates that such an analysis provides important insight into the multiscale stochastic realization problem. Multiscale models constitute a broad class of probabilistic models which includes the well--known subclass of multiscale autoregressive (MAR) models. MAR models have proven useful in a variety of different application areas, due to the fact that they provide a rich set of tools for various signal processing tasks. In order to use these tools, however, a MAR or multiscale model must first be constructed to provide an accurate probabilistic description of the particular application at hand. This thesis addresses this issue of multiscale model identification or realization. Previous work in the area of MAR model identification has focused on developing algorithms which decorrelate certain subsets of random vectors in an effort to design an accurate model. In this thesis, we develop a set-theoretic and graph-theoretic framework for better understanding these types of realization algorithms and for the purpose of designing new such algorithms.
Author : Yakov Pachepsky
Publisher : CRC Press
ISBN 13 : 0203011066
Total Pages : 470 pages
Book Rating : 4.2/5 (3 download)
Download or read book Scaling Methods in Soil Physics written by Yakov Pachepsky and published by CRC Press. This book was released on 2003-03-26 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scaling issue remains one of the largest problems in soil science and hydrology. This book is a unique compendium of ideas, conceptual approaches, techniques, and methodologies for scaling soil physical properties. Scaling Methods in Soil Physics covers many methods of scaling that will be useful in helping scientists across a range of soil-rel
Author : Shunlin Liang
Publisher : Academic Press
ISBN 13 : 0128165286
Total Pages : 1010 pages
Book Rating : 4.1/5 (281 download)
Download or read book Advanced Remote Sensing written by Shunlin Liang and published by Academic Press. This book was released on 2019-11-23 with total page 1010 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Remote Sensing: Terrestrial Information Extraction and Applications, Second Edition, is a thoroughly updated application-based reference that provides a single source on the mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors like RADAR and LIDAR. The book provides scientists in a number of different fields, including geography, geophysics, geology, atmospheric science, environmental science, planetary science and ecology with access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques presented are well designed and integrated, making the book’s content intuitive and practical in its implementation. Provides a comprehensive overview of many practical methods and algorithms Offers descriptions of the principles and procedures of the state-of-the-art in remote sensing Includes real-world case studies and end-of-chapter exercises Contains thoroughly revised chapters, newly developed applications and updated examples
