改进小波阈值去噪法的对比性仿真实验与分析

Comparative Simulation Study of Evolutional Wavelet Based on Denoising Algorithms

针对多种有代表性的改进小波阈值去噪法进行对比性仿真研究。分析软、硬阈值去噪法和各种改进小波阈值去噪法,并在此基础上提出构造改进小波阈值去噪法的必要条件以及新的改进方法,然后用4种带Gaussian白噪声的典型输入信号对各阈值去噪法进行仿真实验,评价改进阈值去噪法的有效性与优越性。通过对比研究,简要总结了改进阈值去噪法的共有特点。

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.