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Wavelet Theory And Its Application To Pattern Recognition
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Book Synopsis Wavelet Theory and Its Application to Pattern Recognition by : Yuan Y. Tang
Download or read book Wavelet Theory and Its Application to Pattern Recognition written by Yuan Y. Tang and published by World Scientific. This book was released on 2000 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is not a purely mathematical book. It presents the basic principle of wavelet theory to electrical and electronic engineers, computer scientists, and students, as well as the ideas of how wavelets can be applied to pattern recognition. It also contains many novel research results from the authors'' research team.
Book Synopsis Wavelet Theory Approach To Pattern Recognition (2nd Edition) by : Yuan Yan Tang
Download or read book Wavelet Theory Approach To Pattern Recognition (2nd Edition) written by Yuan Yan Tang and published by World Scientific. This book was released on 2009-07-06 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2nd edition is an update of the book Wavelet Theory and its Application to Pattern Recognition published in 2000. Three new chapters, which are research results conducted during 2001-2008, are added. The book consists of three parts — the first presents a brief survey of the status of pattern recognition with wavelet theory; the second contains the basic theory of wavelet analysis; the third includes applications of wavelet theory to pattern recognition. The new book provides a bibliography of 170 references including the current state-of-the-art theory and applications of wavelet analysis to pattern recognition.
Book Synopsis Wavelets in Signal and Image Analysis by : A.A. Petrosian
Download or read book Wavelets in Signal and Image Analysis written by A.A. Petrosian and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite their novelty, wavelets have a tremendous impact on a number of modern scientific disciplines, particularly on signal and image analysis. Because of their powerful underlying mathematical theory, they offer exciting opportunities for the design of new multi-resolution processing algorithms and effective pattern recognition systems. This book provides a much-needed overview of current trends in the practical application of wavelet theory. It combines cutting edge research in the rapidly developing wavelet theory with ideas from practical signal and image analysis fields. Subjects dealt with include balanced discussions on wavelet theory and its specific application in diverse fields, ranging from data compression to seismic equipment. In addition, the book offers insights into recent advances in emerging topics such as double density DWT, multiscale Bayesian estimation, symmetry and locality in image representation, and image fusion. Audience: This volume will be of interest to graduate students and researchers whose work involves acoustics, speech, signal and image processing, approximations and expansions, Fourier analysis, and medical imaging.
Book Synopsis Wavelet Theory and Its Applications by : Randy K. Young
Download or read book Wavelet Theory and Its Applications written by Randy K. Young 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: The continuous wavelet transform has deep mathematical roots in the work of Alberto P. Calderon. His seminal paper on complex method of interpolation and intermediate spaces provided the main tool for describing function spaces and their approximation properties. The Calderon identities allow one to give integral representations of many natural operators by using simple pieces of such operators, which are more suited for analysis. These pieces, which are essentially spectral projections, can be chosen in clever ways and have proved to be of tremendous utility in various problems of numerical analysis, multidimensional signal processing, video data compression, and reconstruction of high resolution images and high quality speech. A proliferation of research papers and a couple of books, written in English (there is an earlier book written in French), have emerged on the subject. These books, so far, are written by specialists for specialists, with a heavy mathematical flavor, which is characteristic of the Calderon-Zygmund theory and related research of Duffin-Schaeffer, Daubechies, Grossman, Meyer, Morlet, Chui, and others. Randy Young's monograph is geared more towards practitioners and even non-specialists, who want and, probably, should be cognizant of the exciting proven as well as potential benefits which have either already emerged or are likely to emerge from wavelet theory.
Book Synopsis Fundamentals of Wavelets by : Jaideva C. Goswami
Download or read book Fundamentals of Wavelets written by Jaideva C. Goswami and published by John Wiley & Sons. This book was released on 2011-03-08 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most existing books on wavelets are either too mathematical or they focus on too narrow a specialty. This book provides a thorough treatment of the subject from an engineering point of view. It is a one-stop source of theory, algorithms, applications, and computer codes related to wavelets. This second edition has been updated by the addition of: a section on "Other Wavelets" that describes curvelets, ridgelets, lifting wavelets, etc a section on lifting algorithms Sections on Edge Detection and Geophysical Applications Section on Multiresolution Time Domain Method (MRTD) and on Inverse problems
Book Synopsis Wavelet Theory and Its Applications by : Sudhakar Radhakrishnan
Download or read book Wavelet Theory and Its Applications written by Sudhakar Radhakrishnan and published by BoD – Books on Demand. This book was released on 2018-10-03 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to attract the attention of practitioners and researchers in the academia and industry interested in challenging paradigms of wavelets and its application with an emphasis on the recent technological developments. All the chapters are well demonstrated by various researchers around the world covering the field of mathematics and applied engineering. This book highlights the current research in the usage of wavelets in different areas such as biomedical analysis, fringe-pattern analysis, image applications, network data transfer applications, and optical measurement techniques. The entire work available in the book is mainly focusing on researchers who can do quality research in the area of the usage of wavelets in related fields. Each chapter is an independent research, which will definitely motivate the young researchers to ponder on. These 12 chapters available in four sections will be an eye opener for all who are doing systematic research in these fields.
Download or read book Wavelets written by A. K. Louis and published by Wiley. This book was released on 1997-10-07 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: With applications in pattern recognition, data compression and numerical analysis, the wavelet transform is a key area of modern mathematics that brings new approaches to the analysis and synthesis of signals. This book presents the central issues and emphasizes comparison, assessment and how to combine method and application. It reviews different approaches to guide researchers to appropriate classes of techniques.
Book Synopsis Wavelet Transforms and Their Applications by : Lokenath Debnath
Download or read book Wavelet Transforms and Their Applications written by Lokenath Debnath and published by Springer Science & Business Media. This book was released on 2011-06-28 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: Overview Historically, the concept of "ondelettes" or "wavelets" originated from the study of time-frequency signal analysis, wave propagation, and sampling theory. One of the main reasons for the discovery of wavelets and wavelet transforms is that the Fourier transform analysis does not contain the local information of signals. So the Fourier transform cannot be used for analyzing signals in a joint time and frequency domain. In 1982, Jean MorIet, in collaboration with a group of French engineers, first introduced the idea of wavelets as a family of functions constructed by using translation and dilation of a single function, called the mother wavelet, for the analysis of nonstationary signals. However, this new concept can be viewed as the synthesis of various ideas originating from different disciplines including mathematics (Calder6n-Zygmund operators and Littlewood-Paley theory), physics (coherent states in quantum mechanics and the renormalization group), and engineering (quadratic mirror filters, sideband coding in signal processing, and pyramidal algorithms in image processing). Wavelet analysis is an exciting new method for solving difficult problems in mathematics, physics, and engineering, with modern applications as diverse as wave propagation, data compression, image processing, pattern recognition, computer graphics, the detection of aircraft and submarines, and improvement in CAT scans and other medical image technology. Wavelets allow complex information such as music, speech, images, and patterns to be decomposed into elementary forms, called the fundamental building blocks, at different positions and scales and subsequently reconstructed with high precision.
Book Synopsis Wavelet Analysis and Its Applications by : Jian Ping Li
Download or read book Wavelet Analysis and Its Applications written by Jian Ping Li and published by World Scientific. This book was released on 2003 with total page 1056 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book captures the essence of the current state of research in wavelet analysis and its applications, and identifies the changes and opportunities -- both current and future -- in the field. Distinguished researchers such as Prof John Daugman from Cambridge University and Prof Victor Wickerhauser from Washington University present their research papers. Readership: Graduate students, academics and researchers in computer science and engineering.
Book Synopsis Advances in Wavelet Theory and Their Applications in Engineering, Physics and Technology by : Dumitru Baleanu
Download or read book Advances in Wavelet Theory and Their Applications in Engineering, Physics and Technology written by Dumitru Baleanu and published by BoD – Books on Demand. This book was released on 2012-04-04 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of the wavelet transform to analyze the behaviour of the complex systems from various fields started to be widely recognized and applied successfully during the last few decades. In this book some advances in wavelet theory and their applications in engineering, physics and technology are presented. The applications were carefully selected and grouped in five main sections - Signal Processing, Electrical Systems, Fault Diagnosis and Monitoring, Image Processing and Applications in Engineering. One of the key features of this book is that the wavelet concepts have been described from a point of view that is familiar to researchers from various branches of science and engineering. The content of the book is accessible to a large number of readers.
Book Synopsis Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint by : Mark K. Hinders
Download or read book Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint written by Mark K. Hinders and published by Springer Nature. This book was released on 2020-07-01 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify features for machine learning and pattern classification in time-domain signals. Whether for medical imaging or structural health monitoring, it develops analysis techniques and measurement technologies for the quantitative characterization of materials, tissues and structures by non-invasive means. Intelligent Feature Selection for Machine Learning using the Dynamic Wavelet Fingerprint begins by providing background information on machine learning and the wavelet fingerprint technique. It then progresses through six technical chapters, applying the methods discussed to particular real-world problems. Theses chapters are presented in such a way that they can be read on their own, depending on the reader’s area of interest, or read together to provide a comprehensive overview of the topic. Given its scope, the book will be of interest to practitioners, engineers and researchers seeking to leverage the latest advances in machine learning in order to develop solutions to practical problems in structural health monitoring, medical imaging, autonomous vehicles, wireless technology, and historical conservation.
Book Synopsis Applications of Wavelet Transforms in Pattern Recognition and De-noising by : Guangyi Chen
Download or read book Applications of Wavelet Transforms in Pattern Recognition and De-noising written by Guangyi Chen and published by . This book was released on 1999 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, we study the application of wavelet transforms in two important areas: pattern recognition and de-noising. In the area of pattern recognition, we propose and implement two invariant descriptors for the recognition of 2-D patterns. The first invariant descriptor is concerned with patterns which can be represented by periodic 1-D signals. The method first performs orthonormal shell decomposition on the periodic 1-D signals, then applies Fourier transform on each scale of the shell coefficients. The essential advantage of the descriptor is that a multi-resolution querying strategy can be employed in the recognition process and that it is invariant to rotation of the original 2-D pattern. The second invariant descriptor can be used for any pattern. We first transform the pattern to polar coordinate (r, 0) using the centre of mass of the pattern as origin, then apply the Fourier transform along the axis of polar angle 0 and the wavelet transform along the axis of radius r. The features thus obtained are invariant to translation and rotation. Experimental results show that the two invariant descriptors are efficient representation which can provide for reliable recognition. In de-noising, we develop a new translation-invariant(TI) multiwavelet de-noising algorithm. Instead of using univariate thresholding developed by Donoho, we adopt bivariate thresholding as pioneered by Downie and Silverman. Numerical simulation shows that TI multiwavelet de-noising is better than TI single wavelet de-noising when soft thresholding is used.
Book Synopsis Wavelet Applications in Chemical Engineering by : Rodolphe L. Motard
Download or read book Wavelet Applications in Chemical Engineering written by Rodolphe L. Motard and published by Springer Science & Business Media. This book was released on 2013-11-27 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasing emphasis on safety, productivity and quality control has provided an impetus to research on better methodologies for fault diagnosis, modeling, identification, control and optimization ofchemical process systems. One of the biggest challenges facing the research community is the processing of raw sensordata into meaningful information. Wavelet analysis is an emerging field of mathematics that has provided new tools and algorithms suited for the type of problems encountered in process monitoring and control. The concept emerged in the geophysical field as a result ofthe need for time-frequency analytical techniques. It has since been picked up by mathematicians and recognized as a unifying theory for many ofthe methodologies employed in the past in physics and signal processing. l Meyer states: "Wavelets are without doubt an exciting and intuitive concept. The concept brings with it a new way of thinking, which is absolutely essential and was entirely missing in previously existing algorithms. " The unification ofthe theory from these disciplines has led to applications of wavelet transforms in many areas ofscience and engineering including: • pattern recognition • signal analysis • time-frequency decomposition • process signal characterization and representation • process system modeling and identification • control system design, analysis and implementation • numerical solution ofdifferential equations • matrix manipulation About a year ago, in talking to various colleagues and co-workers, it became clear that a number of chemical engineers were fascinated with this new concept.
Book Synopsis Modern Applications of Wavelet Transform by : Srinivasan Ramakrishnan
Download or read book Modern Applications of Wavelet Transform written by Srinivasan Ramakrishnan and published by BoD – Books on Demand. This book was released on 2024-02-07 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the use of wavelet transforms in signal processing, including image, finance, and communication systems. It covers five contemporary applications, including the interaction between inertial sensors and wavelet filtering techniques, geophysical prospecting, volatility patterns in asset returns, computerized tomography (CT), and fault detection techniques. The book provides a foundation for further exploration, focusing on wavelet transformations' basic principles, their application in geophysical prospecting, and their use in identifying volatility patterns in asset returns. The book is intended for students, researchers, and professionals interested in understanding wavelet transforms and their practical implementations.
Book Synopsis Wavelets:Theory,Applications,Implementation by : M.V. Altaisky
Download or read book Wavelets:Theory,Applications,Implementation written by M.V. Altaisky and published by Universities Press. This book was released on 2005-02 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Wavelet Analysis and Applications by : Tao Qian
Download or read book Wavelet Analysis and Applications written by Tao Qian and published by Springer Science & Business Media. This book was released on 2007-02-24 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume reflects the latest developments in the area of wavelet analysis and its applications. Since the cornerstone lecture of Yves Meyer presented at the ICM 1990 in Kyoto, to some extent, wavelet analysis has often been said to be mainly an applied area. However, a significant percentage of contributions now are connected to theoretical mathematical areas, and the concept of wavelets continuously stretches across various disciplines of mathematics. Key topics: Approximation and Fourier Analysis Construction of Wavelets and Frame Theory Fractal and Multifractal Theory Wavelets in Numerical Analysis Time-Frequency Analysis Adaptive Representation of Nonlinear and Non-stationary Signals Applications, particularly in image processing Through the broad spectrum, ranging from pure and applied mathematics to real applications, the book will be most useful for researchers, engineers and developers alike.
Book Synopsis Document Analysis and Recognition with Wavelet and Fractal Theories by : Yuan Yan Tang
Download or read book Document Analysis and Recognition with Wavelet and Fractal Theories written by Yuan Yan Tang and published by World Scientific. This book was released on 2012 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic Concepts of Document Analysis and Understanding; Basic Concepts of Fractal Dimension; Basic Concepts of Wavelet Theory; Document Analysis by Fractal Dimension; Text Extraction by Wavelet Decomposition; Rotation Invariant by Fractal Theory with Central Projection Transform (CPT); Wavelet-Based and Fractal-Based Methods for Script Identification; Writer Identification Using Hidden Markov Model in Wavelet Domain (WD-HMM).
