Analysis of Signal De-noising Method Based On An Improved Wavelet Thresholding
Based on the Multi-analysis wavelet threshold denosing method which put forward by D.LDohono and I.M.Johnstone,a new thresholding function is proposed. This new thresholding function is continuous as the soft thresholding function,and also overcomes the shortcoming that there is an invariable dispersion between the estimated wavelet coefficients and the decomposed wavelet coefficients of the soft threshold method. In new thresholding function,by adjusting k parameter,a near-optimum function between hard and soft functions is resulted. Moreover,by turning parameter m,the near-optimum thresholding function is adjusted to the opti-mum one through applying small changes. In other words,optimizing parameter k works similar to a global search and optimizing parameter m works like local.search in finding the best thresholding function. The simulation results show that the new thresholding function can offer the best de-noising signal only by changing the variable parameters. The enhancement of the SNR and the reduction of the RMSE indicates that the performance of this method is better then the hard and soft threshold methods.
wavelet analysis threshold de-noising threshold function SNR RNSE.
Huaigang Zang Zhibin Wang Ying Zheng
College of Electric and Engineering,Yanshan university,Hebei Qinhuangdao,066004 China
国际会议
2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)
北京
英文
987-990
2009-08-16（万方平台首次上网日期，不代表论文的发表时间）