Application of Numerical Analysis in Improved Threshold De-Noising Method of SEMG
Yao Lu, Sheng Qi Sun, Lin Li · Advanced materials research · 2013
The wavelet threshold de-noising is widely used in the field of signal processing. According to the problems that there are heavy workloads and long time-consuming, when the control coefficient of improved threshold de-noising method is tuned parameter with the traditional optimization method, the numerical analysis is used to parameter optimization, and makes the SNR as a performance indicator to find the optimal control parameter. Experimental results show that the numerical analysis is more quickly than the traditional optimization method to find the optimal parameter and carries out a high-quality signal after de-noising; besides, the dichotomy is less iteration times and more quickly than the golden section method in optimization of control parameters.