摘要：The problem of estimating a signal corrupted by additive noise has been of
interest to many researchers for practical as well as theoretical reasons.
Wavelet based methods have become increasingly popular, due to a number of
advantages over the linear methods. A simulation-based analysis of some
thresholding functions in the context of denoising application of wavelet
transform was investigated. A probability based function to compute the
threshold parameter is described and implemented in the Matlab-Simulink
simulation environment, by using an estimation of the probability density
function of the wavelet coefficients. The obtained results are at the same
quality level with other procedures currently used in denoising.
