A Nonlinear Denoising Method with Dual Assessment Criterion
This paper presents a nonlinear method---total variation denoising (TVD) method, for impulse signals denoising.The basic idea of TVD is to solve a total variation function optimization problem.Experimental results suggest that the mean squared error (MSE) can not distinguish the results with some falsely identified impulses.Thus, a dual assessment cfitefion incorporating both MSE and false identification power (fid) is proposed.Numerical experiments have shown that the proposed approach outperforms the traditional wavelet denoising (WD) by using the dual assessment criterion.
Denoise total variation impulse signals
Zongbo Xie Jiuchao Feng
School of Electronic and Information Engineering,South China University of Technology,Guangzhou,5106 School of Electronic and In formation Engineering,South China University of Technology,Guangzhou,510
国内会议
2013年第四届全国通信新理论与新技术学术大会CTC2013
北京
英文
63-68
2014-01-01(万方平台首次上网日期,不代表论文的发表时间)