This article is cited in 3 papers

On the accuracy of normal approximation for risk estimate distribution when thresholding signal wavelet coefficients in case of unknown noise level

O. V. Shestakov<sup>ab

a</sup> Institute for Problems of Informatics of RAS
^b M. V. Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics

Abstract: Asymptotic properties of risk estimate when thresholding signal wavelet coefficients are studied. Some rates of convergence of risk estimate distribution to the normal law are obtained.

Keywords: wavelets; thresholding; risk estimate; normal distribution; rate of convergence.

Received: 03.06.2012