Chui, Charles K.; Li, Chun Dyadic affine decompositions and functional wavelet transforms. (English) Zbl 0849.42022 SIAM J. Math. Anal. 27, No. 3, 865-890 (1996). Summary: Decomposition of continuous functions can be accomplished by considering the difference of consecutive interpolation operators. When such a difference is expressed as an infinite series of some “wavelets” basis, the coefficient sequence becomes Donoho’s “interpolating wavelet transform”. Here, in contrast to the usual \(L^2\)-setting, no analyzing wavelet is used to describe the wavelet transform. The objective of this paper is to study the structure of such decomposition spaces, including the formulation of bases and their duals, which leads to the notion of functional wavelet transforms using the duals as analyzing wavelets. Such a transform retains some of the most important properties of the integral wavelet transform of Grossman and Morlet, such as the property of vanishing moments, which has significant applications to engineering problems. Cited in 6 Documents MSC: 42C40 Nontrigonometric harmonic analysis involving wavelets and other special systems 41A58 Series expansions (e.g., Taylor, Lidstone series, but not Fourier series) 42C30 Completeness of sets of functions in nontrigonometric harmonic analysis Keywords:interpolating wavelets; wavelet decompositions; Dirac delta functions; decomposition spaces; functional wavelet transforms; integral wavelet transform; vanishing moments PDFBibTeX XMLCite \textit{C. K. Chui} and \textit{C. Li}, SIAM J. Math. Anal. 27, No. 3, 865--890 (1996; Zbl 0849.42022) Full Text: DOI