De-noising of Raman spectrum signal based on stationary wavelet transform

摘要

In this paper, the Raman spectrum signal de-noising based on stationary wavelet transform is discussed. Haar wavelet is selected to decompose the Raman spectrum signal for several levels based on stationary wavelet transform. The noise mean square σ_j is estimated by the wavelet details at every level, and the wavelet details toward 0 by a threshold σ_j (2 ln n)~(1/2), where n is length of the detail, then recovery signal is reconstructed. Experimental results show this method not only suppresses noise effectively, but also preserves as many target characteristics of original signal as possible. This de-noising method offers a very attractive alternative to Raman spectrum signal noise suppress.