Quantitative assessment of linear noise-reduction filters for spectroscopy

TL;DR

This paper evaluates linear noise-reduction filters in spectroscopy, focusing on their ability to reduce noise while maintaining spectral lineshapes, which are often conflicting objectives.

Contribution

It provides a quantitative assessment of different linear filters, highlighting their effectiveness and trade-offs in spectral data processing.

Findings

Certain filters effectively reduce noise without distorting lineshapes.

Trade-offs exist between noise reduction and lineshape preservation.

Guidelines for selecting appropriate filters in spectroscopy applications.

Abstract

Linear noise-reduction filters used in spectroscopy must strike a balance between reducing noise and preserving lineshapes, the two conflicting requirements of interest.