Research on Signal De-noising Methods Based on the Convolution Type of Wavelet Packet Transformation

摘要：

A multi-scale de-noising algorithm based on the con-volution type of wavelet packet transformation is pre-sented.This algorithm overcomes the shortcoming that the length of sequences obtained always decreases with the decomposition scales increasing.The new algorithm improves noise variance estimation methods and keeps the main edges of signal well.A new thresholding function is employed,which is simple in expression and as continuous as the Donohos softthresholding function.Moreover,this function overcomes the shortcoming that an invariable dispersion between the estimated wavelet coefficients and the decomposed wavelet coefficients in the softthresholding method.Simulation results indicate that this method suppresses the Pseudo-Gibbs phenomena effectively and achieves better SNR gains.

作者: Qibing Zhu Sha Qin

作者单位: School of Communication and Control Engineering Jiangnan University

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）