Multiscale Signal Analysis And Modeling

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Multiscale Signal Analysis and Modeling

Author : Xiaoping Shen
Publisher : Springer Science & Business Media
ISBN 13 : 1461441455
Total Pages : 378 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Multiscale Signal Analysis and Modeling by : Xiaoping Shen

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 378 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.

Multiscale Signal Analysis and Modeling

Author :
Publisher : Springer
ISBN 13 : 9781461441465
Total Pages : 398 pages
Book Rating : 4.4/5 (414 download)

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Book Synopsis Multiscale Signal Analysis and Modeling by :

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:

Multiscale Modeling of Cancer

Author : Vittorio Cristini
Publisher : Cambridge University Press
ISBN 13 : 1139491504
Total Pages : 299 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Multiscale Modeling of Cancer by : Vittorio Cristini

Download or read book Multiscale Modeling of Cancer written by Vittorio Cristini and published by Cambridge University Press. This book was released on 2010-09-09 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical modeling, analysis and simulation are set to play crucial roles in explaining tumor behavior, and the uncontrolled growth of cancer cells over multiple time and spatial scales. This book, the first to integrate state-of-the-art numerical techniques with experimental data, provides an in-depth assessment of tumor cell modeling at multiple scales. The first part of the text presents a detailed biological background with an examination of single-phase and multi-phase continuum tumor modeling, discrete cell modeling, and hybrid continuum-discrete modeling. In the final two chapters, the authors guide the reader through problem-based illustrations and case studies of brain and breast cancer, to demonstrate the future potential of modeling in cancer research. This book has wide interdisciplinary appeal and is a valuable resource for mathematical biologists, biomedical engineers and clinical cancer research communities wishing to understand this emerging field.

Multiscale Analysis of Complex Time Series

Author : Jianbo Gao
Publisher : John Wiley & Sons
ISBN 13 : 0470191643
Total Pages : 368 pages
Book Rating : 4.4/5 (71 download)

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Book Synopsis Multiscale Analysis of Complex Time Series by : Jianbo Gao

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.

Multiscale Modeling Beyond Wavelets

Author : Xiaoping Shen
Publisher : Springer
ISBN 13 : 9781461440680
Total Pages : 270 pages
Book Rating : 4.4/5 (46 download)

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Book Synopsis Multiscale Modeling Beyond Wavelets by : Xiaoping Shen

Download or read book Multiscale Modeling Beyond Wavelets written by Xiaoping Shen and published by Springer. This book was released on 2012-08-31 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is an introduction to the methods that deal with problems raised in using multiscale mathematical/statistical models such as wavelets and other multiscale systems. Special emphasis is given to the applications in filter design, sampling and nonparametric statistical methods for signal modeling, detection and recovering as well as learning and prediction. Applications of these methods notably to signal distortion treatment (Gibbs phenomenon), misisng sample identification, pattern recognition and maching learning problems are discussed and illustrated by examples. Both continuous and sampled (digitized) signals are considered. These methods are in contrast to more traditional methods involving mainly Fourier series withwhich they will also be compared. These multiscale methods have better localization properties, but also avoid excessive oscillations often encountered inboth signal and image analysis.

New Perspectives on Approximation and Sampling Theory

Author : Ahmed I. Zayed
Publisher : Springer
ISBN 13 : 3319088017
Total Pages : 472 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis New Perspectives on Approximation and Sampling Theory by : Ahmed I. Zayed

Download or read book New Perspectives on Approximation and Sampling Theory written by Ahmed I. Zayed and published by Springer. This book was released on 2014-11-03 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Paul Butzer, who is considered the academic father and grandfather of many prominent mathematicians, has established one of the best schools in approximation and sampling theory in the world. He is one of the leading figures in approximation, sampling theory, and harmonic analysis. Although on April 15, 2013, Paul Butzer turned 85 years old, remarkably, he is still an active research mathematician. In celebration of Paul Butzer’s 85th birthday, New Perspectives on Approximation and Sampling Theory is a collection of invited chapters on approximation, sampling, and harmonic analysis written by students, friends, colleagues, and prominent active mathematicians. Topics covered include approximation methods using wavelets, multi-scale analysis, frames, and special functions. New Perspectives on Approximation and Sampling Theory requires basic knowledge of mathematical analysis, but efforts were made to keep the exposition clear and the chapters self-contained. This volume will appeal to researchers and graduate students in mathematics, applied mathematics and engineering, in particular, engineers working in signal and image processing.

Sparse Image and Signal Processing

Author : Jean-Luc Starck
Publisher : Cambridge University Press
ISBN 13 : 0521119138
Total Pages : 351 pages
Book Rating : 4.5/5 (211 download)

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Book Synopsis Sparse Image and Signal Processing by : Jean-Luc Starck

Download or read book Sparse Image and Signal Processing written by Jean-Luc Starck and published by Cambridge University Press. This book was released on 2010-05-10 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Matlab and IDL code accompany these methods and applications to reproduce the experiments and illustrate the reasoning and methodology of the research available for download at the associated Web site.

Progress in Wavelet Analysis and Applications

Author : Yves Meyer
Publisher : Atlantica Séguier Frontières
ISBN 13 : 9782863321300
Total Pages : 808 pages
Book Rating : 4.3/5 (213 download)

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Book Synopsis Progress in Wavelet Analysis and Applications by : Yves Meyer

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:

Nonlinear Model Based Process Control

Author : Rıdvan Berber
Publisher : Springer Science & Business Media
ISBN 13 : 9780792352204
Total Pages : 916 pages
Book Rating : 4.3/5 (522 download)

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Book Synopsis Nonlinear Model Based Process Control by : Rıdvan Berber

Download or read book Nonlinear Model Based Process Control written by Rıdvan Berber and published by Springer Science & Business Media. This book was released on 1998 with total page 916 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasingly competitive environment within which modern industry has to work means that processes have to be operated over a wider range of conditions in order to meet constantly changing performance targets. Add to this the fact that many industrial operations are nonlinear, and the need for on-line control algorithms for nonlinear processes becomes clear. Major progress has been booked in constrained model-based control and important issues of nonlinear process control have been solved. This text surveys the state-of-the-art in nonlinear model-based control technology, by writers who have actually created the scientific profile. A broad range of issues are covered in depth, from traditional nonlinear approaches to nonlinear model predictive control, from nonlinear process identification and state estimation to control-integrated design. Advances in the control of inverse response and unstable processes are presented. Comparisons with linear control are given, and case studies are used for illustration.

Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing

Author : Rajesh Kumar Tripathy
Publisher : CRC Press
ISBN 13 : 1040028772
Total Pages : 227 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing by : Rajesh Kumar Tripathy

Download or read book Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing written by Rajesh Kumar Tripathy and published by CRC Press. This book was released on 2024-06-06 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book: Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signals Presents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interface Highlights the latest machine learning and deep learning methods for neural signal processing Discusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysis Showcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniques It is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering.

Multiscale Forecasting Models

Author : Lida Mercedes Barba Maggi
Publisher : Springer
ISBN 13 : 3319949926
Total Pages : 124 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Multiscale Forecasting Models by : Lida Mercedes Barba Maggi

Download or read book Multiscale Forecasting Models written by Lida Mercedes Barba Maggi and published by Springer. This book was released on 2018-08-23 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents two new decomposition methods to decompose a time series in intrinsic components of low and high frequencies. The methods are based on Singular Value Decomposition (SVD) of a Hankel matrix (HSVD). The proposed decomposition is used to improve the accuracy of linear and nonlinear auto-regressive models. Linear Auto-regressive models (AR, ARMA and ARIMA) and Auto-regressive Neural Networks (ANNs) have been found insufficient because of the highly complicated nature of some time series. Hybrid models are a recent solution to deal with non-stationary processes which combine pre-processing techniques with conventional forecasters, some pre-processing techniques broadly implemented are Singular Spectrum Analysis (SSA) and Stationary Wavelet Transform (SWT). Although the flexibility of SSA and SWT allows their usage in a wide range of forecast problems, there is a lack of standard methods to select their parameters. The proposed decomposition HSVD and Multilevel SVD are described in detail through time series coming from the transport and fishery sectors. Further, for comparison purposes, it is evaluated the forecast accuracy reached by SSA and SWT, both jointly with AR-based models and ANNs.

Models and analysis of vocal emissions for biomedical applications : 7th international workshop ; August 25 - 27, 2011

Author : Claudia Manfredi
Publisher : Firenze University Press
ISBN 13 : 8866550116
Total Pages : 216 pages
Book Rating : 4.8/5 (665 download)

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Book Synopsis Models and analysis of vocal emissions for biomedical applications : 7th international workshop ; August 25 - 27, 2011 by : Claudia Manfredi

Download or read book Models and analysis of vocal emissions for biomedical applications : 7th international workshop ; August 25 - 27, 2011 written by Claudia Manfredi and published by Firenze University Press. This book was released on 2011 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: The MAVEBA Workshop proceedings, held on a biannual basis, collect the scientific papers presented both as oral and poster contributions, during the conference. The main subjects are: development of theoretical and mechanical models as an aid to the study of main phonatory dysfunctions, as well as the biomedical engineering methods for the analysis of voice signals and images, as a support to clinical diagnosis and classification of vocal pathologies.

Scientific Computing in Chemical Engineering II

Author : Frerich Keil
Publisher : Springer Science & Business Media
ISBN 13 : 9783540658511
Total Pages : 442 pages
Book Rating : 4.6/5 (585 download)

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Book Synopsis Scientific Computing in Chemical Engineering II by : Frerich Keil

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.

An Invitation to Geomathematics

Author : Willi Freeden
Publisher : Springer
ISBN 13 : 3030130541
Total Pages : 129 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis An Invitation to Geomathematics by : Willi Freeden

Download or read book An Invitation to Geomathematics written by Willi Freeden and published by Springer. This book was released on 2019-05-17 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors introduce geomathematics as an active research area to a wider audience. Chapter 1 presents an introduction to the Earth as a system to apply scientific methods. Emphasis is laid on transfers from virtual models to reality and vice versa. In the second chapter geomathematics is introduced as a new scientific area which nevertheless has its roots in antiquity. The modern conception of geomathematics is outlined from different points of view and its challenging nature is described as well as its interdisciplinarity. Geomathematics is shown as the bridge between the real world and the virtual world. The complex mathematical tools are shown from a variety of fields necessary to tackle geoscientific problems in the mathematical language. Chapter 3 contains some exemplary applications as novel exploration methods. Particular importance is laid on the change of language when it comes to translate measurements to mathematical models. New solution methods like the multiscale mollifier technique are presented. Further applications discussed are aspects of reflection seismics. Chapter 4 is devoted to the short description of recent activities in geomathematics. The Appendix (Chapter 5) is devoted to the GEM – International Journal on Geomathematics founded ten years ago. Besides a detailed structural analysis of the editorial goals an index of all papers published in former issues is given.

Multiscale Modeling and Uncertainty Quantification of Materials and Structures

Author : Manolis Papadrakakis
Publisher : Springer
ISBN 13 : 3319063316
Total Pages : 306 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Multiscale Modeling and Uncertainty Quantification of Materials and Structures by : Manolis Papadrakakis

Download or read book Multiscale Modeling and Uncertainty Quantification of Materials and Structures written by Manolis Papadrakakis and published by Springer. This book was released on 2014-07-02 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceedings of the IUTAM Symposium on Multiscale Modeling and Uncertainty Quantification of Materials and Structures that was held at Santorini, Greece, September 9 – 11, 2013. It consists of 20 chapters which are divided in five thematic topics: Damage and fracture, homogenization, inverse problems–identification, multiscale stochastic mechanics and stochastic dynamics. Over the last few years, the intense research activity at micro scale and nano scale reflected the need to account for disparate levels of uncertainty from various sources and across scales. As even over-refined deterministic approaches are not able to account for this issue, an efficient blending of stochastic and multiscale methodologies is required to provide a rational framework for the analysis and design of materials and structures. The purpose of this IUTAM Symposium was to promote achievements in uncertainty quantification combined with multiscale modeling and to encourage research and development in this growing field with the aim of improving the safety and reliability of engineered materials and structures. Special emphasis was placed on multiscale material modeling and simulation as well as on the multiscale analysis and uncertainty quantification of fracture mechanics of heterogeneous media. The homogenization of two-phase random media was also thoroughly examined in several presentations. Various topics of multiscale stochastic mechanics, such as identification of material models, scale coupling, modeling of random microstructures, analysis of CNT-reinforced composites and stochastic finite elements, have been analyzed and discussed. A large number of papers were finally devoted to innovative methods in stochastic dynamics.

Wireless, Networking, Radar, Sensor Array Processing, and Nonlinear Signal Processing

Author : Vijay Madisetti
Publisher : CRC Press
ISBN 13 : 1420046055
Total Pages : 874 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Wireless, Networking, Radar, Sensor Array Processing, and Nonlinear Signal Processing by : Vijay Madisetti

Download or read book Wireless, Networking, Radar, Sensor Array Processing, and Nonlinear Signal Processing written by Vijay Madisetti and published by CRC Press. This book was released on 2018-09-03 with total page 874 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues to provide the engineering community with authoritative coverage of the fundamental and specialized aspects of information-bearing signals in digital form. Encompassing essential background material, technical details, standards, and software, the second edition reflects cutting-edge information on signal processing algorithms and protocols related to speech, audio, multimedia, and video processing technology associated with standards ranging from WiMax to MP3 audio, low-power/high-performance DSPs, color image processing, and chips on video. Drawing on the experience of leading engineers, researchers, and scholars, the three-volume set contains 29 new chapters that address multimedia and Internet technologies, tomography, radar systems, architecture, standards, and future applications in speech, acoustics, video, radar, and telecommunications. This volume, Wireless, Networking, Radar, Sensor Array Processing, and Nonlinear Signal Processing, provides complete coverage of the foundations of signal processing related to wireless, radar, space–time coding, and mobile communications, together with associated applications to networking, storage, and communications.

Statistical Image Processing and Multidimensional Modeling

Author : Paul Fieguth
Publisher : Springer Science & Business Media
ISBN 13 : 1441972943
Total Pages : 454 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Statistical Image Processing and Multidimensional Modeling by : Paul Fieguth

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 454 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.