光谱预处理代码.zip

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The data signal obtained by using the near-infrared spectroscopy detector includes the information of the component to be tested, including the noise of various instruments, such as high-frequency random noise, baseline drift, spurious information, background of the sample.Therefore, before data analysis, the specific signal measurement and sample system should be processed reasonably, and the influence of various non-target factors on the detection signal information should be weakened or even eliminated, which lays a foundation for establishing a stable and reliable mathematical model. Commonly used data preprocessing methods include data normalization processing (mean centering, normalization, standard normal transformation, etc.), high frequency noise filtering (convolution smoothing, Fourier transform, wavelet transform, etc.), differential derivation of signals, and Baseline correction, etc.

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