Wavelet Approximation of Periodic Functions |
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Authors: | Maria Skopina |
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Institution: | St.-Petersburg State University, Bibliotechnaja pl.-2, PM-PU, 198904, St.-Petersburg, Russia;Federal University of Ceara, Campus do Pici, Bloco 914, 60.455-760, Fortaleza, Ceara, Brasil |
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Abstract: | We investigate expansions of periodic functions with respect to wavelet bases. Direct and inverse theorems for wavelet approximation in C and Lp norms are proved. For the functions possessing local regularity we study the rate of pointwise convergence of wavelet Fourier series. We also define and investigate the “discreet wavelet Fourier transform” (DWFT) for periodic wavelets generated by a compactly supported scaling function. The DWFT has one important advantage for numerical problems compared with the corresponding wavelet Fourier coefficients: while fast computational algorithms for wavelet Fourier coefficients are recursive, DWFTs can be computed by explicit formulas without any recursion and the computation is fast enough. |
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