An Algorithm for Thresholding in the Context of Signal Denoising with Wavelets
Resumen
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.