Results 41 to 50 of about 181,289 (318)

Wavelets on the Interval and Fast Wavelet Transforms

open access: yesApplied and Computational Harmonic Analysis, 1993
The paper contains a detailed analysis of several constructions of orthonormal bases of wavelets on a finite interval. A new construction is suggested which avoids some of the disadvantages of earlier constructions.
Cohen, Albert   +2 more
openaire   +3 more sources

Fringe pattern analysis using a one-dimensional modified Morlet continuous wavelet transform [PDF]

open access: yes, 2008
This paper proposes the use of a modified Morlet wavelet in order to demodulate fringe patterns in conjunction with the one-dimensional continuous wavelet transform (1D-CWT). Our investigations demonstrate that the modified Morlet wavelet produces better
Gdeisat, Munther A.   +11 more
core   +1 more source

A Terracotta Mold Discovered in Chartres (France, Eure-et-Loir) with Original Iconography for Apollo

open access: yesLes Carnets de l’ACoSt
In this note, we introduce a mold for a terracotta figurine that represents the god Apollo, whose iconography is unprecedented in the products of central Gaul.
Loïc Androuin, David Wavelet
doaj   +1 more source

A Model for Yellow Tea Polyphenols Content Estimation Based on Multi-Feature Fusion

open access: yesIEEE Access, 2019
Polyphenols are one of the important ingredients determining the quality of tea, which play an important role in affecting tea quality standards and quality control. At present, NIR spectroscopy technology has been widely used in tea quality detection to
Baohua Yang   +3 more
doaj   +1 more source

Wavelets in subspaces. [PDF]

open access: yesMichigan Mathematical Journal, 1996
Let \(T\) and \(D\) be the translation and unitary dilation operators on \(L^2(\mathbb{R})\) given by \((Tf)(t)= f(t- 1)\) and \((Df)(t)=\sqrt 2f(2t)\). An orthogonal wavelet for a subspace \(X\) of \(L^2(\mathbb{R})\) is a unit vector \(\psi\in X\) such that \(\{D^nT^m\psi: n,m\in\mathbb{Z}\}\) is an orthonormal basis of \(X\).
Dai, Xingde, Lu, Shijie
openaire   +3 more sources

A Biorthogonal Hermite Cubic Spline Galerkin Method for Solving Fractional Riccati Equation

open access: yesMathematics, 2022
This paper is devoted to the wavelet Galerkin method to solve the Fractional Riccati equation. To this end, biorthogonal Hermite cubic Spline scaling bases and their properties are introduced, and the fractional integral is represented based on these ...
Haifa Bin Jebreen, Ioannis Dassios
doaj   +1 more source

Linking neurogenesis, oligodendrogenesis, and myelination defects to neurodevelopmental disruption in primary mitochondrial disorders

open access: yesFEBS Letters, EarlyView.
Mitochondrial remodeling shapes neural and glial lineage progression by matching metabolic supply with demand. Elevated OXPHOS supports differentiation and myelin formation, while myelin compaction lowers mitochondrial dependence, revealing mitochondria as key drivers of developmental energy adaptation.
Sahitya Ranjan Biswas   +3 more
wiley   +1 more source

Optimal wavelet basis for wavelet packets based meningioma subtype classification [PDF]

open access: yes, 2008
Wavelets based analysis has been used frequently in literature for texture analysis and features extraction. Due to the availability of many wavelet filters, the issue of the selection of the optimal filter for a certain problem has always been an ...
Qureshi, Hammad A.   +2 more
core  

Epigenetic blind spots – the role of DNA methylation dynamics in stem cell‐based models of embryogenesis

open access: yesFEBS Letters, EarlyView.
Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil   +4 more
wiley   +1 more source

Wavelet analysis of temporal data [PDF]

open access: yes, 2008
This thesis considers the application of wavelets to problems involving multiple series of temporal data. Wavelets have proven to be highly effective at extracting frequency information from data.
Goodwin, David Alexander
core  

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