International Research Publication House
Signal denoising is the process of reducing the unwanted noise in order to restore the original signal. The researchers denoising algorithm based on wavelet thresholding replace the small coefficients by zero and keep or shrink the coefficients with absolute value above the threshold. So the threshold selection becomes more important in signal denoising. In this paper, the threshold selection based on fuzzy logic concepts for hyper shrinkage is developed. Fuzzy logic represents a good mathematical framework to deal with uncertainty of information.