Pinu物种的近红外光谱(NIRS)数据。 感谢潘Xi在中国林业科学研究院获得了NIRS的数据。 感谢西南林业大学的Xian Wang确定了木材样品的种类。
2022-05-13 10:36:39 4.93MB
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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.
2019-12-21 20:33:36 216KB NIRS preprocess
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近红外数据处理软件包的使用方法,简单可行
2019-12-21 19:27:16 2.53MB 数据分析
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