De-noising Algorithm of Modified Thresholding Function Based On the Best Basis of Wavelet Packet
This paper is about on denosing by modified thresholding function based on wavelet packet transform.First,there is a summary of the necessary conditions to construct the thresholding function on the basis of previous studies.And a new function for this method is put forward for wavelet packet denoising.Then,through four kinds of previous representative evolutionary thresholding functions are used for contrast,with the addition of traditional soft and hard threshoulding,all these functions are tested in a simulation experiment via four kinds of typical signals contarminated by different Gaussian white noise.Finally,the results show that the new function can be further remove noise effectively,and improve the signal-to-noise ratio,which reflects the superiority of conducting the modified thresholding function for wavelet packet signal denoising.
wavelet packet modified thresholding function denoising signal-to-noise ratio
Chen Lin Wang Wei Liu Zengli Tang Hui
Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming,China
国际会议
杭州
英文
1516-1522
2013-03-22（万方平台首次上网日期，不代表论文的发表时间）