Comparative Simulation Study of Evolutional Wavelet Based on Denoising Algorithms

A comparative simulation study of various evolutional wavelet based denoising algorithms is presented.The soft denoising method,hard denoising method and various evolutional wavelet-threshold denoising functions are analyzed,and the necessary conditions of conducting evolutional wavelet-threshold denoising algorithms and a new function for this method are proposed.Meanwhile,all of these denoising functions are tested in a simulation experiment through four typical input signals contaminated by the Gaussian white noise,and these methods are evaluated according to some standards.Finally,the characteristics of the evolutional wavelet-threshold based denoising algorithms are summarized.