Recent Advances in Wavelet Analysis
Larry L. Schumaker, Glenn Webb
Academic Press, 1994 - Mathematics - 364 pages
Recent Advances in Wavelet Analysis is the third volume in the WAVELET ANALYSIS AND ITS APPLICATIONS series. This edited volume features ten timely and important articles authored by various experts in their respective fields, including such notable contributors as David L. Donoho, Ingrid Daubechies (MacArthur grant awardees in '91 and '92, respectively), Phillippe Tchamitchian, Patrick Flandrin (both featured speakers at the '92 International Wavelets Conference in Toulouse), Charles Chui, and Bjorn Jawerth (one of the editors of the Wavelet Digest ). This book covers recent advances in wavelet analysis and applications in areas including wavelets on bounded intervals, wavelet decomposition of special interest to statisticians, wavelets approach to differential and integral equations, analysis of subdivision operators, and wavelets related to problems in engineering and physics. Anyone interested in the ever-evolving field of wavelets will find this book an excellent addition to the series and to the literature overall.
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Estimates on Greens Kernel Using Wavelets and Applications
Wavelet Refinement of the Wilson Recursion Formula
Numbers in parentheses indicate pages on which authors contributions begin
13 other sections not shown
algorithm applying approximation average-interpolation averages bases Besov space biorthogonal wavelets bounded boxcar Chui Cohen compactly supported compression computation consider constant construction convergence Corollary corresponding Daubechies Daubechies wavelets defined denote derivative dual dyadic edge elliptic endpoint energy distributions equations equivalent estimates exponential decay filtering finite follows formula Fourier transform frequency Gaussian given Haar Hence implies inequality integral interpolation interval ipj,k Jawerth kernel Lemma limsup linear Math matrix Meyer multiresolution analysis norm notation obtain Ondelettes orthogonal orthonormal basis proof properties Proposition prove pseudodifferential recursion refinable function refinement relation renormalization group representation result RG transformation Riesz basis satisfy scaling functions scalogram scheme Section sequence short-time Fourier transform signal smooth solution space spectral radius subdivision operator Suppose Tchamitchian Theorem time-frequency time-scale tion trigonometric polynomial two-scale vector wavelet basis wavelet coefficients wavelet decomposition wavelet transform Wigner-Ville distribution