1) de noising by soft thresholding 浮动阈值消噪2) threshold de-noising 阈值消噪 1. First,it decomposes high frequency twice,and then de-noises the signal by threshold de-noising. 该方法不同于传统阈值消噪方法,首先对语音信号高频部分做了二次分解,然后应用阈值消噪的方法对信号进行消噪处理。
41, NO. 3, MAY 1995 613 De-Noising by Soft-Thresholding David L. Donoho Abstract- Donoho and Johnstone (1994) proposed a method mean-squared error for reconstructing an unknown function f on [O, I] from noisy data d, = f ( t z ) + oz,, i = 0 , . .., n - 1, t, = i...
De-noising by modified soft-thresholding Based on the soft-thresholding, a new noise smoother is introduced in this letter. Since a new statistics is used to make the estimation, the proposed algo... YH Peng - IEEE Apccas the IEEE Asia-pacific Conference on Circuits & Systems 被引量: 35发...
De-Noising By Soft-Thresholding-英文文献 DE-NOISING BY SOFT-THRESHOLDING David L. Donoho Department of Statistics Stanford University Abstract Donoho and Johnstone (1992a) prop osed a metho d for reconstruct- ing an unknown function f on [0 ; 1] from noisy data d = f (t ) + z , ...
Soft thresholding method has been a standard procedure in signal de-noising. Theoretically, it is also almost optimal in the sense of minimax mean-squared ... HL Zhu,TY Kwok,LS Qu - 《Acta Automatica Sinica》 被引量: 17发表: 2004年 De-Noising ENMR Spectra by Wavelet Shrinkage Soft thresh...
Image forgery detection by semi-automatic wavelet soft-Thresholding with error level analysis 星级: 10 页 modeling a gtd-based radar target by the joint soft-thresholding maximum-likelihood method 星级: 3页 De-noising by thresholding operator adapted wavelets.pdf 星级: 27 页 Chroma Noise Reduc...
De-noising by soft-thresholding. IEEE Transactions on Information Theory, 41(3):613-627, May 1995.D. L. Donoho, "De-noising by soft-thresholding," IEEE Trans- actions on Information Theory, vol. 41, no. 3, pp. 613-627, 1995.
The soft threshold signal is sign(x) (|x| - t) if |x| > t and is 0 if |x| ≤ t. Hard thresholding can be described as the usual process of setting to zero the coefficients whose absolute values are lower than the threshold. Soft thresholding is different from hard thresholding in...
Soft thresholding is applied to fine levels of wavelet decomposition coefficients and hard thresholding is applied to coarse levels. This implementation is coordinated by visualizing the features presented in ENMR spectra.Computer-Based Medical Systems, 1998. Proceedings. 11th IEEE Symposium onJun Li...
A novel thresholding function is proposed based on the wavelet shrinkage.This new thresholding function has many other advantages over traditional soft and hard-thresholding functions.It is characterized by its simple expressions,has good continuities and high-order derivatives resulting in mathematics dispo...