Denoising of Bivariate Normal distribution by Shrinkage Wavelet Method Based on the New Threshold, By Mahmoud Afshari

Research

Title	Denoising of Bivariate Normal distribution by Shrinkage Wavelet Method Based on the New Threshold
Type	Presentation
Keywords	Threshold, Shrinkage wavelet, Bivariate normal distribution, Denoising
Researchers	ziba botvandi (First researcher) , Mahmoud Afshari (Second researcher) , Hamid Karamikabir (Third researcher)

Abstract

Normal distribution is one of the most important and widely used statistical distributions. According to application of this distribution to many real world problem, denoising of signals with this distribution is important. In this paper, the aim is denoise Bivariate Normal distribution with Shrinkage Wavelet method based on Generalized type of steins risk-unbiased estimator threshold. For this puropse, the threshold value under balanced loss function is first obtained then using simulation de-noise of bivariate normal distribution image is discussed.