Application of Wavelet Domain Adaptive Filtering to De-Noise NMR Data
You Wu, Xie Ran, Li Zhi Xiao · Advanced materials research · 2012
In this paper, the method of wavelet domain adaptive filtering was used to de-noise NMR echo data. Numerical simulation was used to compare the relationship between the SNR of NMR echo data and the results of T2 spectrum inversion before and after the de-noising procedure. The effectiveness of the wavelet domain adaptive filtering in the de-noising of NMR data was demonstrated. Compared with the traditional wavelet threshold de-noising, this adaptive de-noising method can obtain higher SNR results without the loss of useful signal.