1994
DOI: 10.2307/2153305
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Wavelets: Algorithms & Applications.

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Cited by 12 publications
(5 citation statements)
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“…Directly from the CWT scalogram we can find, for a given logistic wave, such values of the parameters b and a so that the value of the Index ( 16) at the point with coordinates (b, a) is maximal. By (15) we have…”
Section: Logistic Waveletsmentioning
confidence: 99%
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“…Directly from the CWT scalogram we can find, for a given logistic wave, such values of the parameters b and a so that the value of the Index ( 16) at the point with coordinates (b, a) is maximal. By (15) we have…”
Section: Logistic Waveletsmentioning
confidence: 99%
“…Let us now recall some general facts about wavelet theory (cf. [3,15,16]) which we will use later. A wavelet or mother wavelet ( Daubechies [3], p.24 ) is an integrable function ψ ∈ L 1 (R) with the following admissibility condition:…”
Section: Wavelets and Logistic Wavelets 21 Waveletsmentioning
confidence: 99%
“…Multiresolution analysis (Meyer 1993a(Meyer , 1993b) is a mathematical approach that assumes the approximation of a signal f(t) by a series of quite simple functions φ m, k (t) and ψ j, k (t):…”
Section: Multiresolution Analysismentioning
confidence: 99%
“…The functions φ(t) and ψ(t) are selected in such a way that they can fully be represented by their values at rescaling with the factor 2 j , i.e., at the transition to another level of resolution. For the simplest, the Haar wavelet, the approximation of f(t) by φ(t) is interpreted as the histogram approach (a representation of the signal by averaged mean values within some time intervals) while the wavelets ψ(t) add details to this approximation on smaller levels of resolution (Meyer 1993a, Addison 2002. Transition from the level j to j + 1 is equivalent to a changing of t by 2t.…”
Section: Multiresolution Analysismentioning
confidence: 99%
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