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- W4312968612 abstract "Fourier transform infrared spectrometer has a wide range of applications in many fields. In order to ensure the spectral quality of the spectrometer output, it is necessary to perform certain processing on the original spectrum. After having developed the Fourier transform infrared spectrometer, in this paper we design the infrared spectrum information processing algorithm. The basic transformations of the spectrum, such as spectral derivation, spectral normalization, centralization, and normalization, are realized. The methods of wavelet transform and S-G smoothing filtering are used to filter out the noise. By means of multivariate scattering correction method, the baseline shift and offset phenomenon of the infrared spectrum of the sample are corrected. Combining principal component analysis and Mahalanobis distance, a detection method of abnormal samples is proposed. Through the combination of multiple data processing algorithms, the processed spectra can play a better role in subsequent spectral analysis." @default.
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- W4312968612 date "2022-01-01" @default.
- W4312968612 modified "2023-10-02" @default.
- W4312968612 title "Design of Infrared Spectrum Information Processing Algorithm for Fourier Infrared Spectrometer" @default.
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- W4312968612 doi "https://doi.org/10.1007/978-3-031-18123-8_56" @default.
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