Last edited by Tojar
Tuesday, July 21, 2020 | History

6 edition of Wavelets and Allied Topics found in the catalog.

Wavelets and Allied Topics

by Pawan K. Jain

  • 159 Want to read
  • 29 Currently reading

Published by Narosa .
Written in English

    Subjects:
  • Infinity,
  • Set Theory,
  • Mathematics,
  • Science/Mathematics,
  • Mathematics / Applied

  • The Physical Object
    FormatHardcover
    Number of Pages365
    ID Numbers
    Open LibraryOL8259275M
    ISBN 100849317193
    ISBN 109780849317194
    OCLC/WorldCa52859445

    Wavelets and Filter Banks. Wellesley-Cambridge Press, Course Structure. The course will consist of lectures, homework assignments and a project on a topic related to the student's area of interest. We will aim for the right balance of theory and "applications". This is an undergraduate-level book in signal processing, but the title of this book is misleading since only one out of ten chapters is devoted to wavelets. Wavelets are described from the digital signal processing perspective, so I guess the preceding eight chapters (chapter 9 is wavelets; chapter 10 is applications) are intended to get 5/5(2).

    Page on the book "The World According to Wavelets: The Story of a Mathematical Technique in the Making" by Barbara Burke Hubbard, , A K Peters, Ltd., ISBN WaveLib: a C and Matlab wavelet library of functions. The de-facto reference book for learning wavelets is this: A Wavelet Tour of Signal Processing, by Stephen Mallat. You will find everything you need here. Among online resources, I would recommend this: A Numerical Tour of Signal Processing, by.

    the definition of a wavelet and the wavelet transform. Following is a comparison of the similarities and differences between the wavelet and Fourier transforms. \Ve conclude with some examples of wavelet transforms of "popular" signals. Other introductions to wavelets and their applications may be found in [1]' [2], [5], [8],and [10]. The aim of the book is to present this unified view of wavelets and subband coding. It will be done from a signal processing perspective, but with sufficient background material such that people without signal processing knowledge will xiii.


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Wavelets and Allied Topics by Pawan K. Jain Download PDF EPUB FB2

1st Edition Published on Janu by Narosa The study of wavelets has grown tremendously over the past decade and found myriad applications in areas suc Wavelets and Allied Topics - 1st Edition - Pawan K. Jain - Routledge. Wavelets and Allied Topics - CRC Press Book.

The study of wavelets has grown tremendously over the past decade and found myriad applications in areas such as image processing, signal processing, data compression, and numerical methods.

This volume contains articles by eminent mathematicians on aspects of wavelet theory. ISBN: OCLC Number: Notes: Published in conjunction with a workshop, "International Instructional Workshop on Wavelets and Applications," organized by the Dept. of Mathematics, University of Delhi, AugustIt explains wavelets to both engineers and mathematicians.

The authors clarify the connection between the discrete-time filter banks and continous-time scaling functions and wavelets. They do an excellent job of covering the basics.

The book also deals with a number of more special-purpose topics, including boundary filters and lifting. Genre/Form: Electronic books: Additional Physical Format: Print version: Jain, P.K. Wavelets and Allied Topics.

New Delhi: Alpha Science International, © The subject of wavelets crystallized in the early 90's so this book (published in ) will stay a reference for quite a while. Mallat is one of the main contributors to the theory of wavelets and multiresolution analysis.

This book is used as the main reference for the class "Wavelets and modern signal processing" at Caltech. Wavelets and Allied Topics 英文书摘要 The study of Wavelets has grown tremendously over the past decade and found myriad applications in areas such as image processing, signal processing, data compression, and numerical methods.

The last 15 years have seen an explosion of interest in wavelets with applications in fields such as image compression, turbulence, human vision, radar and earthquake prediction. Wavelets represent an area that combines signal in image processing, mathematics, physics and electrical engineering.

As such, this title is intended for the wide audience that is interested in mastering. The approximation estimates for the weakly singular kernel function and the smooth part based on the trigonometric Hermite wavelet constructed by E.

Quak [Trigonometric wavelets for Hermite Author: Jürgen Prestin. An Introduction to Wavelets is the first volume in a new series, WAVELET ANALYSIS AND ITS APPLICATIONS.

This is an introductory treatise on wavelet analysis, with an emphasis on spline wavelets and time-frequency analysis. Among the basic topics covered in this book are time-frequency localization, integral wavelet transforms, dyadic wavelets, frames, spline-wavelets, Reviews: 1.

[there are] chapters on biorthogonal wavelets and wavelet packets, topics which are rare in wavelet books. Both are important, and this feature is an extra argument in favour of [this] book the material is accessible [even] to less advanced readers the book is a nice addition to the series." ―Zentralblatt MathCited by: An Introduction to Wavelets is the first volume in a new series, Wavelet Analysis and Its Applications.

This is an introductory treatise on wavelet analysis, with an emphasis on spline-wavelets and time-frequency analysis. Among the basic topics covered in this book are time-frequency localization, integral wavelet transforms, dyadic Cited by: Igor V.

Florinsky, in Digital Terrain Analysis in Soil Science and Geology (Second Edition), Two-Dimensional Discrete Wavelet Transform. The wavelet transform is signal decomposition using a system of wavelets, that is, functions each of which is a shifted and scaled copy of a function, the mother wavelet.

Among the basic topics covered in this book are time-frequency localization, integral wavelet transforms, dyadic wavelets, frames, spline-wavelets, orthonormal wavelet bases, and wavelet packets.

In addition, the author presents a unified treatment of nonorthogonal, semiorthogonal, and orthogonal wavelets. Ming Li, Yimin Zhao, in Geophysical Exploration Technology, The Wavelet Extraction and Analysis (Wavelets) The wavelet extraction and analysis provides seismic wavelet estimation tools for synthetic records and inversion.

In the case of a single well, multiple wells, or even no well data, it can estimate the suitable seismic wavelet by the single-channel or. The book begins with an introduction to vector spaces, innerproduct spaces, and other preliminary topics in uent chapters feature: The development of a Fourier series, Fourier transform, anddiscrete Fourier analysis Improved sections devoted to continuous wavelets andtwo-dimensional wavelets The analysis of Haar, Shannon, and.

Signal processing is fascinating in that basic concepts such as orthogonality and inner product spaces and orthonormal bases, scaling functions, etc build into useful systems for multiresolution analysis. It's such a useful and interesting topic f.

wavelets beginning with Fourier, compare wavelet transforms with Fourier transforms, state prop-erties and other special aspects of wavelets, and flnish with some interesting applications such as image compression, musical tones, and de-noising noisy data.

WAVELETS OVERVIEW The fundamental idea behind wavelets is to analyze according to scale. Wavelets is a carefully organized and edited collection of extended survey papers addressing key topics in the mathematical foundations and applications of wavelet theory.

The first part of the book is devoted to the fundamentals of wavelet analysis. a first course on wavelets Download a first course on wavelets or read online books in PDF, EPUB, Tuebl, and Mobi Format.

Click Download or Read Online button to get a first course on wavelets book now. This site is like a library, Use search box. The book concludes with a series of projects and problems that introduce advanced topics and offer starting points for research.

Sample projects that demonstrate real wavelet applications include image compression, a wavelet-based search engine, processing with Daubechies' wavelets, and more.The book is understandable by any engineer with basic knowledge of signals and systems.

The book provides an intuitive understanding of wavelets when applied to various applications, while keeping the mathematical derivations as little as possible.

To mention a few examples, Lee has done great job in presenting the following concepts.Used to detect signals against noise, wavelet analysis excels for transients or for spatiallylocalized phenomena. In this fourth volume in the renown WAVELET ANALYSIS AND ITS APPLICATIONS Series, Efi Foufoula-Georgiou and Praveen Kumar begin with a self-contained overview of the nature, power, and scope of wavelet transforms.