A New De-noising Method of NMR FID signals Based on Wavelet Transform

Taking aim at the de-noising of clinical NMR FID signals,the paper analyzes the wavelet transform characteristics of available signals and noises separately based on wavelet transform technology.With the principles of three de-noising methods wavelet-based,wavelet transform modulus maxima,threshold shrinkage,and translation invariance,Effective solutions for selecting method of wavelet basis function,optimized thresholding function and wavelet decomposing parameters are put forward,so as the distinguishing method between signals and noises.Taking brain gliomas as an example,the paper implements effective experimental solutions based on the wavelet transform de-noising technology.About 30 clinical NMR data obtained from the NMR devices have been de-noised to provide high quality data and validated the new method.