An Improved Wavelet Threshold De-Noising Method and Its Application
In order to improve effect of weak signal de-noising, an improved threshold de-noising function based on the characteristics of soft-threshold function and hard-threshold function which are used to estimate wavelet coefficients is proposed in this paper. This new function can obtain better threshold, which is between the hard threshold and soft threshold by adjusting the parameters. It not only overcomes the disadvantage of the segmentation of hard-threshold function effectively, but also solves the constant deviation and discontinuous derivative of soft-threshold function. The simulation results demonstrate the effectiveness of the algorithm.
wavelet soft-threshold function hard-threshold function de-noising SNR RMSE weak signal
Ji Ce Lu Xue-liang Tang Bao-cheng
College of Information Science and Engineering, Northeastern University,Shenyang 110004, China
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
950-953
2012-05-23（万方平台首次上网日期，不代表论文的发表时间）