Results 41 to 50 of about 721,188 (387)
Wavelets and pre-wavelets in low dimensions
Journal of Approximation Theory, 1992 AbstractIn Riemenschneider and Shen (in “Approximation Theory and Functional Analysis” (C. K. Chui, Ed.), pp. 133–149, Academic Press, New York, 1991) an explicit orthonormal basis of wavelets for L2(Rs), s=1,2,3, was constructed from a multiresolution approximation given by box splines. In other words, L2(Rs) has the orthogonal decomposition ⊕ Wν. (∗)
Sherman D. Riemenschneider, Zuowei Shen
openaire +2 more sources
Wavelets: a powerful tool for studying rotation, activity, and pulsation in Kepler and CoRoT stellar light curves [PDF]
, 2014 Aims. The wavelet transform has been used as a powerful tool for treating several problems in astrophysics. In this work, we show that the time-frequency analysis of stellar light curves using the wavelet transform is a practical tool for identifying ...
Bravo, J. P. +4 more
core +1 more source
Image denoising using scale mixtures of Gaussians in the wavelet domain
IEEE Transactions on Image Processing, 2003 We describe a method for removing noise from digital images, based on a statistical model of the coefficients of an overcomplete multiscale oriented basis.
J. Portilla +3 more
semanticscholar +1 more source
A Terracotta Mold Discovered in Chartres (France, Eure-et-Loir) with Original Iconography for Apollo
Les Carnets de l’ACoStIn 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
String Synchronizing Sets: Sublinear-Time BWT Construction and Optimal LCE Data Structure
, 2019 Burrows-Wheeler transform (BWT) is an invertible text transformation that, given a text $T$ of length $n$, permutes its symbols according to the lexicographic order of suffixes of $T$. BWT is one of the most heavily studied algorithms in data compression
A +7 more
core +1 more source
Sub-second dynamics of theta-gamma coupling in hippocampal CA1
eLife, 2019 Oscillatory brain activity reflects different internal brain states including neurons’ excitatory state and synchrony among neurons. However, characterizing these states is complicated by the fact that different oscillations are often coupled, such as ...
Lu Zhang +3 more
doaj +1 more source
Wavelet Transforms and their Applications to Turbulence
, 1992 Wavelet transforms are recent mathematical techniques, based on group theory and square integrable representations, which allows one to unfold a signal, or a field, into both space and scale, and possibly directions.
M. Farge
semanticscholar +1 more source
Nonhomogeneous Wavelet Systems in High Dimensions [PDF]
, 2010 It is of interest to study a wavelet system with a minimum number of generators. It has been showed by X. Dai, D. R. Larson, and D. M. Speegle in [11] that for any $d\times d$ real-valued expansive matrix M, a homogeneous orthonormal M-wavelet basis can ...
Han, Bin
core
On the Hilbert transform of wavelets
, 2011 A wavelet is a localized function having a prescribed number of vanishing moments. In this correspondence, we provide precise arguments as to why the Hilbert transform of a wavelet is again a wavelet.
Chaudhury, Kunal Narayan, Unser, Michael
core +1 more source
Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review
Applied Sciences, 2019 Non-stationary time series (TS) analysis has gained an explosive interest over the recent decades in different applied sciences. In fact, several decomposition methods were developed in order to extract various components (e.g., seasonal, trend and ...
M. Rhif +4 more
semanticscholar +1 more source