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Uniform Convergence of Compactly Supported Wavelet Expansions of Gaussian Random Processes
Authors:Yuriy Kozachenko  Olga Polosmak
Institution:1. Department of Probability Theory, Statistics and Actuarial Mathematics, Kyiv University, Kyiv, Ukraine;2. Department of Economic Cybernetics, Taras Shevchenko Kyiv National University, Kyiv, Ukraine
Abstract:New results on uniform convergence in probability for expansions of Gaussian random processes using compactly supported wavelets are given. The main result is valid for general classes of non stationary processes. An application of the obtained results to stationary processes is also presented. It is shown that the convergence rate of the expansions is exponential.
Keywords:Convergence in probability  Gaussian process  Random process  Uniform convergence  Convergence rate  Wavelets  Compactly supported wavelets
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