Denoising applied to spectroscopies – part I: concept and limits

Some spectroscopies are intrinsically poorly sensitive, such as nuclear magnetic resonance (NMR) and Raman spectroscopy. This drawback can be overcome by using singular value decomposition (SVD) and low-rank approximation to denoise spectra and consequently increase sensitivity. However, SVD limits have not been deeply investigated until now. We applied SVD to NMR and Raman spectra and showed that best results were obtained with a square data...