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Wavelet Analysis and Multiresolution Methods

This volume contains papers selected from the Wavelet Analysis and Multiresolution Methods Session of the AMS meeting held at the;

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Wavelet Analysis and Multiresolution Methods

This volume contains papers selected from the Wavelet Analysis and Multiresolution Methods Session of the AMS meeting held at the;

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Wavelet Analysis and Its Applications: An Introduction

WAVELET ANALYSIS AND ITS APPLICATIONS: An Introduction demonstrates the consequences of Fourier analysis and introduces the concept;

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Applications of Wavelet Multiresolution Analysis

, solutions to boundary value problems and fractional calculus. This bunch of examples highlights the importance of multiresolution analysis to face;

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Generalized Multiresolution Analyses

in the field, these lecture notes provide the tools and framework for using GMRAs to extend results from classical wavelet analysis to a more;

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Multiscale Wavelet Methods for Partial Differential Equations

This latest volume in the Wavelets Analysis and Its Applications Series provides significant and up-to-date insights into recent;

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Multiresolution Time Domain Scheme for Electromagnetic Engineering

analysis (MRA), and scaling and wavelet functions; construction of MRA families; interconnection among the MRTD, finite difference time domain;

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Intelligent Wavelet Based Techniques for Advanced Multimedia Applications

recognition, etc. Wavelets are well capable of analyzing signal, image and video at different resolution levels, popularly known as multiresolution;

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Intelligent Wavelet Based Techniques for Advanced Multimedia Applications

recognition, etc. Wavelets are well capable of analyzing signal, image and video at different resolution levels, popularly known as multiresolution;

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London Mathematical Society Student Texts

dimensional wavelets from multiresolution analysis, the book presents in detail the most important wavelets: spline wavelets, Meyer's wavelets and;

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A Mathematical Introduction to Wavelets

dimensional wavelets from multiresolution analysis, the book presents in detail the most important wavelets: spline wavelets, Meyer's wavelets and;

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Discrete Fourier and Wavelet Transforms

results already presented, and the mathematical framework of multiresolution analysis is examined.;

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Discrete Fourier & Wavelet Transforms

results already presented, and the mathematical framework of multiresolution analysis is examined.;

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Wavelet Analysis on Local Fields of Positive Characteristic

. It later gives several examples of locally compact groups and describes their Haar measures. The book focuses on multiresolution analysis and;

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Signal and Image Representation in Combined Spaces

This volume explains how the recent advances in wavelet analysis provide new means for multiresolution analysis and describes its wide;

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A First Course on Wavelets

Wavelet theory had its origin in quantum field theory, signal analysis, and function space theory. In these areas wavelet-like algorithms;

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Wavelet Basics

of wavelet transforms. Chapter 3 links multiresolution analysis, orthonormal wavelets and the design of digital filters. Chapter 4 gives a tour;

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Wavelet Applications in Economics and Finance

This book deals with the application of wavelet and spectral methods for the analysis of nonlinear and dynamic processes in economics and;

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Signal and Image Multiresolution Analysis

Multiresolution analysis using the wavelet transform has received considerable attention in recent years by researchers in various fields;

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From Fourier Analysis to Wavelets

of multiresolution representation, and its importance to function discretization and to the construction of wavelets is also discussed. Emphasis;

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MRTD (Multi Resolution Time Domain) Method in Electromagnetics

. In addition, techniques such as the uniaxial perfectly matched layer (UPML) for arbitrary wavelet resolution and non-uniform gridding are presented;

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Wavelet Methods for Time Series Analysis

This introduction to wavelet analysis 'from the ground level and up', and to wavelet-based statistical analysis of time series focuses on;

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Diffusion-Driven Wavelet Design for Shape Analysis

, Diffusion-Driven Wavelet Design for Shape Analysis presents recent research results in wavelet designs on 3D shapes and their applications in shape;

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Diffusion-Driven Wavelet Design for Shape Analysis

, Diffusion-Driven Wavelet Design for Shape Analysis presents recent research results in wavelet designs on 3D shapes and their applications in shape;

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Wavelet Theory

treatment of various types of wavelets and their related concepts, such as Haar spaces, multiresolution analysis, Daubechies wavelets, and;

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Handbook of Numerical Analysis

, Gaussian elimination, techniques of scientific computer, the analysis of multigrid methods, wavelet methods, and finite volume methods. ;

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Harmonic Analysis

. In addition to harmonic analysis via Fourier duality, the author also covers multiresolution wavelet approaches as well as a third tool, namely, $L^2;

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