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Wavelet estimate of time series
In this paper a wavelet technique to study time series by discrete wavelet coefficients, is proposed. Since time series are mainly represented by histograms we will use the Haar waveletes and the Haar wavelet interpolation [1,2].
CATTANI, Carlo +2 more
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Finite approximation properties of C∗-modules
Illinois Journal of Mathematics, 2022Massoud Amini
exaly
Multidimensional Kantorovich modifications of exponential sampling series
Quaestiones Mathematicae, 2023Sadettin Kurşun +2 more
exaly
On a unitary version of Suzuki's exponential product formula
Journal of the Mathematical Society of Japan, 1996Kazuhiko Aomoto
exaly
Limits of strongly irreducible operators, and the Riesz decomposition theorem.
Michigan Mathematical Journal, 1990Domingo A Herrero
exaly
A unifying approach to convergence of linear sampling type operators in Orlicz spaces
Advances in Differential Equations, 2011Luca Zampogni, Gianluca Vinti
exaly
On the Unique Minimality of the Fourier Projection in Lp Spaces
Numerical Functional Analysis and Optimization, 2013Beata Deregowska, Barbara Lewandowska
exaly
Order of approximation for sampling Kantorovich operators
Journal of Integral Equations and Applications, 2014Danilo Costarelli, Gianluca Vinti
exaly

