For studying how to select the algorithm parameters, which are wavelet basis, wavelet coefficient processing method and threshold calculation method respectively, in stationary wavelet denoising algorithm to obtain the optimal denoising performance. The denoising performance under different parameters, the selection of orthogonal filter banks and the wavelet coefficients processing method in stationary wavelet denoising algorithm were proposed and compared. The results show that: compared with other filter banks, the filter bank corresponded to Daubechies wavelet basis can achieve a better denoising performance; the soft thresholding method should be selected for processing wavelet coefficient in low signal noise ratio condition, and the hard thresholding method should be utilized when signal noise ratio is high; when using the thresholding method to process the wavelet coefficients, the threshold value should be calculated by the sqtwolog method in low signal noise ratio condition, and rigrsure method should be adopted when the signal noise ratio is high.