Machine learning concept in de-spiking process for nuclear resonant vibrational spectra - automation using no external parameter.

ABSTRACT: Nuclear resonant vibrational spectroscopy (NRVS) is a relatively new spectroscopic method which measures site-specific vibrational information and is especially useful in the area of biochemical researches. It also has an almost zero background and is suitable for measuring weak signals but needs a lot of scans to complete one real spectrum. Due to various reasons, some NRVS scans have occasional spike(s), which can introduce fake peak(s) when the averaged spectrum is converted into partial vibrational density of state (PVDOS) and can mislead the deduction of the corresponding structural information from it. For better use of the NRVS spectra with occasional spikes, people have to identify and smooth the sporadic spiky points while leaving all other points untouched. In this publication, w

SUBMITTER: Wang J 

PROVIDER: S-EPMC12002406 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature