The property mapping algorithm [1-3] for enhancement is a powerful method for a post-processing procedure especially in NMR spectroscopy as well as in MR imaging (i.e. MRI). Unfortunately this algorithm has its own weaknesses. Although the algorithm works perfectly for signals containing a known and limited number of peaks , for signals containing relatively small peaks such that they are hidden in the noise and the total number of peaks is unknown, the enhancement may result in an imperfect spectrum. Also this algorithm assumes specific values characterizing the shape of the data matrix for obtaining better results .
In this work we improved the algorithm by modifying it to make it more computationally efficient as well as generating more accurate enhanced spectral data. Our modifications not only make the method applicable to essentially any spectrum without requiring prior knowledge regarding the number of the peaks or the signal-to-noise ratio (S/N), but they also provide dramatically improved S/N whilst preserving key spectral characteristics such as the intensities and linewidths of the spectral resonances.