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基于新的阈值函数的小波阈值去噪方法
引用本文:李玉,于凤芹,杨慧中,李从宏.基于新的阈值函数的小波阈值去噪方法[J].江南大学学报(自然科学版),2006,5(4):476-479.
作者姓名:李玉  于凤芹  杨慧中  李从宏
作者单位:江南大学,系统工程研究所,江苏,无锡,214122
摘    要:在分析了硬阈值、软阈值小波去噪算法存在问题的基础上,构造了一个新的阈值函数,仿真实验结果显示,与硬、软阈值去噪方法相比,基于新的阈值函数的小波阈值方法能够得到较小的均方误差,并提高了重建信号的信噪比,且去噪后的信号与原始信号的近似性也较好.

关 键 词:小波去噪  阈值函数  均方误差  信噪比
文章编号:1671-7147(2006)04-0476-04
收稿时间:2006-01-28
修稿时间:2006-06-29

Wavelet-Baced Denoising by a New Thresholding Function
LI Yu,YU Feng-qin,YANG Hui-zhong,LI Cong-hong.Wavelet-Baced Denoising by a New Thresholding Function[J].Journal of Southern Yangtze University:Natural Science Edition,2006,5(4):476-479.
Authors:LI Yu  YU Feng-qin  YANG Hui-zhong  LI Cong-hong
Institution:Institute of System Engineering, Southern Yangtze University, Wuxi 214122, China
Abstract:Based on the study of the disadvantages of the traditional threshold function-the hard threshold function and the soft threshold function, we propose a new threshold function that can take the place of the traditional ones. The simulation results show that the new threshold function presents better MSE performance and SNR. Besides, the denoised signals using the new function also follow the original signal very closely.
Keywords:wavelet de-noising  threshold function  MSE  SNR
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