We have developed a novel noise-minimization method that is applicable to all kinds of spectral data, which introduces little distortion in the signal waveform. It is based on the singular value decomposition of a matrix and is an advanced version of the conventional method for minimizing the background noise from a line spectrum, the details of which we reported in a previous paper [Appl. Spectrosc. 48, 1453 (1994).]. In order to cope with a continuum spectrum, we have calculated a difference spectrum between an observed spectrum and a smoothed one. After minimizing noise components from the difference spectrum by the use of the previous method, we add it to the smoothed spectrum. We also propose a method for reducing the computation time by introducing a data-division technique. Noise minimization for an infrared absorption spectrum of polystyrene is shown.

PDF Article

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access OSA Member Subscription