Wavelet Theory Approach To Pattern Recognition (2nd Edition)

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Publisher : World Scientific
ISBN 13 : 9814467715
Total Pages : 482 pages
Book Rating : 4.11/5 ( download)

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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.

Wavelet Theory and Its Application to Pattern Recognition

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Publisher : World Scientific
ISBN 13 : 9789812385529
Total Pages : 372 pages
Book Rating : 4.25/5 ( download)

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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.

Wavelets in Signal and Image Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 9401597154
Total Pages : 548 pages
Book Rating : 4.59/5 ( download)

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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.

Wavelet Theory

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Publisher : John Wiley & Sons
ISBN 13 : 1118165667
Total Pages : 502 pages
Book Rating : 4.69/5 ( download)

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Book Synopsis Wavelet Theory by : David K. Ruch

Download or read book Wavelet Theory written by David K. Ruch and published by John Wiley & Sons. This book was released on 2011-09-15 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: A self-contained, elementary introduction to wavelet theory and applications Exploring the growing relevance of wavelets in the field of mathematics, Wavelet Theory: An Elementary Approach with Applications provides an introduction to the topic, detailing the fundamental concepts and presenting its major impacts in the world beyond academia. Drawing on concepts from calculus and linear algebra, this book helps readers sharpen their mathematical proof writing and reading skills through interesting, real-world applications. The book begins with a brief introduction to the fundamentals of complex numbers and the space of square-integrable functions. Next, Fourier series and the Fourier transform are presented as tools for understanding wavelet analysis and the study of wavelets in the transform domain. Subsequent chapters provide a comprehensive treatment of various types of wavelets and their related concepts, such as Haar spaces, multiresolution analysis, Daubechies wavelets, and biorthogonal wavelets. In addition, the authors include two chapters that carefully detail the transition from wavelet theory to the discrete wavelet transformations. To illustrate the relevance of wavelet theory in the digital age, the book includes two in-depth sections on current applications: the FBI Wavelet Scalar Quantization Standard and image segmentation. In order to facilitate mastery of the content, the book features more than 400 exercises that range from theoretical to computational in nature and are structured in a multi-part format in order to assist readers with the correct proof or solution. These problems provide an opportunity for readers to further investigate various applications of wavelets. All problems are compatible with software packages and computer labs that are available on the book's related Web site, allowing readers to perform various imaging/audio tasks, explore computer wavelet transformations and their inverses, and visualize the applications discussed throughout the book. Requiring only a prerequisite knowledge of linear algebra and calculus, Wavelet Theory is an excellent book for courses in mathematics, engineering, and physics at the upper-undergraduate level. It is also a valuable resource for mathematicians, engineers, and scientists who wish to learn about wavelet theory on an elementary level.

Document Analysis And Recognition With Wavelet And Fractal Theories

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Publisher : World Scientific
ISBN 13 : 9814401021
Total Pages : 373 pages
Book Rating : 4.29/5 ( download)

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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 2012-03-23 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many phenomena around the research in document analysis and understanding are much better described through the powerful multiscale signal representations than by traditional ways.From this perspective, the recent emergence of powerful multiscale signal representations in general and fractal/wavelet basis representations in particular, has been particularly timely. Indeed, out of these theories arise highly natural and extremely useful representations for a variety of important phenomena in document analysis and understanding.This book presents both the development of these new approaches as well as their application to a number of fundamental problems of interest to scientists and engineers in document analysis and understanding./a

Applications of Wavelet Transforms in Pattern Recognition and De-noising

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.62/5 ( download)

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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.

Pattern Recognition and Image Preprocessing

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Publisher : CRC Press
ISBN 13 : 9780203903896
Total Pages : 736 pages
Book Rating : 4.97/5 ( download)

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Book Synopsis Pattern Recognition and Image Preprocessing by : Sing T. Bow

Download or read book Pattern Recognition and Image Preprocessing written by Sing T. Bow and published by CRC Press. This book was released on 2002-01-11 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describing non-parametric and parametric theoretic classification and the training of discriminant functions, this second edition includes new and expanded sections on neural networks, Fisher's discriminant, wavelet transform, and the method of principal components. It contains discussions on dimensionality reduction and feature selection; novel computer system architectures; proven algorithms for solutions to common roadblocks in data processing; computing models including the Hamming net, the Kohonen self-organizing map, and the Hopfield net; detailed appendices with data sets illustrating key concepts in the text; and more.

Wavelets

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Publisher : Wiley
ISBN 13 : 9780471967927
Total Pages : 342 pages
Book Rating : 4.20/5 ( download)

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Book Synopsis Wavelets by : A. K. Louis

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.

Wavelet Theory and Its Applications

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Publisher : BoD – Books on Demand
ISBN 13 : 1789234328
Total Pages : 270 pages
Book Rating : 4.29/5 ( download)

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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.

Wavelet Transforms and Their Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 1461200970
Total Pages : 575 pages
Book Rating : 4.70/5 ( download)

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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.