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The International Conference of Computational Harmonic Analysis, held in Hong Kong during the period of June 4 - 8, 2001, brought together mathematicians and engineers interested in the computational aspects of harmonic analysis. Plenary speakers include W Dahmen, R Q Jia, P W Jones, K S Lau, S L Lee, S Smale, J Smoller, G Strang, M Vetterlli, and M V Wickerhauser. The central theme was wavelet analysis in the broadest sense, covering time-frequency and time-scale analysis, filter banks, fast numerical computations, spline methods, multiscale algorithms, approximation theory, signal processing
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Wavelets: Theory, Algorithms, and Applications is the fifth volume in the highly respected series, WAVELET ANALYSIS AND ITS APPLICATIONS. This volume shows why wavelet analysis has become a tool of choice infields ranging from image compression, to signal detection and analysis in electrical engineering and geophysics, to analysis of turbulent or intermittent processes. The 28 papers comprising this volume are organized into seven subject areas: multiresolution analysis, wavelet transforms, tools for time-frequency analysis, wavelets and fractals, numerical methods and algorithms, and applicat
Wavelets (Mathematics) --- Wavelets (Mathematics). --- Wavelet analysis --- Harmonic analysis --- Splines. --- Analyse harmonique --- Analyse de fourier --- Ondelettes
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An in-depth look at real analysis and its applications, including an introduction to waveletanalysis, a popular topic in ""applied real analysis"". This text makes a very natural connection between the classic pure analysis and the applied topics, including measure theory, Lebesgue Integral,harmonic analysis and wavelet theory with many associated applications.*The text is relatively elementary at the start, but the level of difficulty steadily increases*The book contains many clear, detailed examples, case studies and exercises*Many real world applications relating to
Mathematical analysis. --- Wavelets (Mathematics) --- Wavelet analysis --- 517.1 Mathematical analysis --- Mathematical analysis --- Harmonic analysis
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This book offers an introduction to wavelet theory and provides the essence of wavelet analysis - including Fourier analysis and spectral analysis; the maximum overlap discrete wavelet transform; wavelet variance, covariance, and correlation - in a unified and friendly manner. It aims to bridge the gap between theory and practice by presenting substantial applications of wavelets in economics and finance.This book is the first to provide a comprehensive application of wavelet analysis to financial markets, covering new frontier issues in empirical finance and economics. The first chapter of th
Finance --- Wavelets (Mathematics) --- Mathematical models. --- Wavelet analysis --- Harmonic analysis --- Mathematical models --- E-books
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This highly acclaimed work has so far been available only in French. It is a detailed survey of a variety of techniques for time-frequency/time-scale analysis (the essence of ""Wavelet Analysis""). This book has broad and comprehensive coverage of a topic of keen interest to a variety of engineers, especially those concerned with signal and image processing. Flandrin provides a discussion of numerous issues and problems that arise from a mixed description in time and frequency, as well as problems in interpretation inherent in signal theory.Key Features* Detailed coverage of both l
Frequency spectra. --- Signal processing --- Time-series analysis. --- Wavelets (Mathematics). --- Mathematics. --- Wavelets (Mathematics) --- Spectra, Frequency --- Spectrum, Frequency --- Spectrum analysis --- Wavelet analysis --- Harmonic analysis --- Analysis of time series --- Autocorrelation (Statistics) --- Mathematical statistics --- Probabilities
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This book is intended to serve as an invaluable reference for anyone concerned with the application of wavelets to signal processing. It has evolved from material used to teach ""wavelet signal processing"" courses in electrical engineering departments at Massachusetts Institute of Technology and Tel Aviv University, as well as applied mathematics departments at the Courant Institute of New York University and ÉcolePolytechnique in Paris.Key Features* Provides a broad perspective on the principles and applications of transient signal processing with wavelets* Emphasizes int
Signal processing --- Wavelets (Mathematics) --- Mathematics. --- Wavelet analysis --- Harmonic analysis --- Traitement du signal --- Ondelettes --- Mathematics --- Mathématiques --- ELSEVIER-B EPUB-LIV-FT --- Analyse de fourier --- Theorie du signal
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This volume explains how the recent advances in wavelet analysis provide new means for multiresolution analysis and describes its wide array of powerful tools. The book covers variations of the windowed Fourier transform, constructions of special waveforms suitable for specific tasks, the use of redundant representations in reconstruction and enhancement, applications of efficient numerical compression as a tool for fast numerical analysis, and approximation properties of various waveforms in different contexts.
Signal processing --- Image processing --- Wavelets (Mathematics) --- Mathematics --- Traitement du signal --- Traitement d'images --- Ondelettes --- Mathématiques --- Wavelet analysis --- Harmonic analysis --- Mathematics. --- Signal processing - Mathematics --- Image processing - Mathematics
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Wavelets seem to be the most efficient tool in signal denoising and compression. They can be used in an unlimited number of applications in all fields of chemistry where the instrumental signals are the source of information about the studied chemical systems or phenomena, and in all cases where these signals have to be archived. The quality of the instrumental signals determines the quality of answer to the basic analytical questions: how many components are in the studied systems, what are these components like and what are their concentrations? Efficient compression of the signal sets can
Chemistry --- Wavelets (Mathematics) --- 519.25 --- 519.65 --- 519.25 Statistical data handling --- Statistical data handling --- 519.65 Approximation. Interpolation --- Approximation. Interpolation --- Wavelet analysis --- Harmonic analysis --- Mathematics --- Mathematics.
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This innovative and in-depth book integrates the well-developed theory and practical applications of one dimensional and multidimensional multirate signal processing. Using a rigorous mathematical framework, it carefully examines the fundamentals of this rapidly growing field. Areas covered include: basic building blocks of multirate signal processing; fundamentals of multidimensional multirate signal processing; multirate filter banks; lossless lattice structures; introduction to wavelet signal processing.Multirate and Wavelet Signal Processing forms the basis for a graduate course
Signal processing --- Electric filters --- Wavelets (Mathematics) --- Traitement du signal --- Ondelettes --- Digital techniques --- Mathematics. --- Techniques numériques --- Mathématiques --- Wavelets (Mathematics). --- Techniques numériques --- Mathématiques --- Wavelet analysis --- Harmonic analysis --- Electric wave filters --- Electronic filters --- Wave filters, Electric --- Electric circuits --- Electric networks --- Signal theory (Telecommunication)
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