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A Data Processing and Analysis System for Fourier Transform Infrared Spectrometer

  • Wanjie Ren,
  • Qi Liu,
  • Liang Li,
  • Peng Wang,
  • Rui Tuo

摘要

Existing Fourier transform infrared spectrometers have problems such as noise interference, baseline drift, low accuracy and stability of spectrum acquisition, and lack of corresponding analysis models. In this paper, by improving the technical defects of existing Fourier transform infrared spectrometers, a design The spectral information processing and analysis system used for Fourier transform infrared spectrometer test data enables users to make custom choices among multiple comprehensive and effective functional modules, and realize personalized spectral processing and analysis while collecting spectra, solving The problems existing in the existing Fourier transform infrared spectrometer are solved.