A Comparative Simulation Study of Evolutional Wavelet Based Denoising Algorithms

摘要

In this paper, several kinds of wavelet based denoising algorithms, including soft, hard and other threshold denoising algorithms, are summarized. Meanwhile, two new evolutional denoising algorithms are proposed. In order to compare the effects of these algorithms, fo.ur kinds of typical signals, which are contaminated by Gaussian white noise, are used as input signals for simulation experiment. Two widely used standards are employed as indicators to evaluate the denoising effects of the evolutional threshold algorithms. The effects of the algorithms are also verified on a piece of signal that simulates engineering vehicle's bumpy signal. The reconstructed signal shows less noise after denoising. At last, several conclusions are drawn to give reference to wavelet based denoising algorithms application.