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the data. The methods can complement to each other. Spectral and wavelet analyses have been used in such research. These methods for detecting periods have been used in several studies to investigate the cyclic variables of a time series. In

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References [1] C . Baccar . Uncertainty principles for the continuous Hankel wavelet

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Bruce, A.G. and H.-Y. Gao. 1996. Applied Wavelet Analysis with S-PLUS . Springer, New York. Applied Wavelet Analysis with S

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References Aguiar-Conraria , L. – Azevedo , N. – Soares , M. J. ( 2008 ): Using Wavelets to Decompose the Time-Frequency Effects of Monetary Policy . Physica A

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filed function. The wavelet finite element was the outcome combining the multi-resolution property of wavelet with the traditional finite element method, and using the wavelet function or scale function as interpolating function was a basic idea of the

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commercial banks under certain circumstances. They used either classical correlation or conditional correlation models. We only found one paper following a wavelet analysis between commercial bank interest rates and participation (Islamic) banks

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Abstract  

A characterization formula of an orthonormal multiwavelet with di_erent real dilations and translations for L E 2(R) is presented. The result includes the known result on the classical Hardy space H 2(R).

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Реэюме  

Получены точные в смысле порядка оценки для поперечников Фурье классов типа Никольского-Бесова
\documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{upgreek} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} $$B_{pq}^{sm} (\mathbb{T}^k )$$ \end{document}
и Лиэоркина-Трибеля
\documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{upgreek} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} $$L_{pq}^{sm} (\mathbb{T}^k )$$ \end{document}
в метрике
\documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{upgreek} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} $$L_r (\mathbb{T}^k )$$ \end{document}
для ряда соотношений между параметрами s, p, q, r (эдесъ s ∈ (0, ∞)n, 1 ≤ p, r, q, ≤ ∞, 1 ≤ nk, m = (m 1, …, m n) ∈ ℕn: m 1 + … + m n = k).
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14 409 415 Mallat S. A wavelet tour of signal processing , Academic Press, New York, 1997. Mallat S

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