Abstract

The use of an interactive filter for smoothing Raman spectra is described. It is applied by fitting a polynomial to a limited range of data in a spectrum using the least-squares criterion. It provides a variable band-pass with very sharp cutoff without generating ringing artifacts. Its use is demonstrated in tailoring of the filter bandpass to the requirements of individual spectral features, in detection of weak peaks in a noisy spectrum, and in detection of minor component signals when these are superimposed on major component signals.

Baseline correction for Raman spectra using a spectral estimation-based asymmetrically reweighted penalized least squares method

Yixin Guo, Weiqi Jin, Weilin Wang, Yuqing He, and Su Qiu
Appl. Opt. 62(18) 4766-4776 (2023)

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Determination of N₂–N₂ and N₂–O₂ S-branch Raman linewidths using time-resolved picosecond pure rotational coherent anti-Stokes Raman scattering

Christian Meißner, Jonas I. Hölzer, and Thomas Seeger
Appl. Opt. 58(10) C47-C54 (2019)

Recovery of Raman spectra with low signal-to-noise ratio using Wiener estimation

Shuo Chen, Xiaoqian Lin, Clement Yuen, Saraswathi Padmanabhan, Roger W. Beuerman, and Quan Liu
Opt. Express 22(10) 12102-12114 (2014)

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M. J. Peyrovian and A. A. Sawchuk
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