1984
DOI: 10.1137/0515056
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Decomposition of Hardy Functions into Square Integrable Wavelets of Constant Shape

Abstract: An arbitrary square integrable real-valued function (or, equivalently, the associated Hardy function) can be conveniently analyzed into a suitable family of square integrable wavelets of constant shape, (i.e. obtained by shifts and dilations from anyone of them.) The resulting integral transform is isometric and self-reciprocal if the wavelets satisfy an "admissibility condition" given here. Explicit expressions are obtained in the case of a particular analyzing family that plays a role analogous to that of co… Show more

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Cited by 3,025 publications
(1,036 citation statements)
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“…Data analysis.-To display the endogenous modes of the cell and possible interactions between the neuronal processes we use the technique of double-wavelet analysis. The wavelet-transform of a signal x t is obtained from [6,7]:…”
mentioning
confidence: 99%
“…Data analysis.-To display the endogenous modes of the cell and possible interactions between the neuronal processes we use the technique of double-wavelet analysis. The wavelet-transform of a signal x t is obtained from [6,7]:…”
mentioning
confidence: 99%
“…However, the first models of wavelets are discovered in the work of Haar in (1911). Farther more, wavelets with local support property were considered by Grossman and Morlet in (1984). Meyer (1990) was the first researcher who used these wavelet basis functions to investigate the convergence of wavelet expansions.…”
Section: Introductionmentioning
confidence: 99%
“…Spectral analysis of biological time series is ever more often based on the application of a wavelet transform to the data (Grossmann & Morlet 1984). The advantages of this approach in comparison with the classical Fourier transform have been widely discussed in the literature (Addison 2002).…”
Section: Dynamic Properties Of the Myelinated Nerve Fibre (A ) Wavelementioning
confidence: 99%