首页> 外文期刊>Journal of Chemometrics >SIMPLE ENCODING OF INFRARED SPECTRA FOR PATTERN RECOGNITION. 1: STATISTICAL EXAMINATION OF THE EFFECTIVENESS AND INFORMATION CONTENT BY FACTOR ANALYSIS
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SIMPLE ENCODING OF INFRARED SPECTRA FOR PATTERN RECOGNITION. 1: STATISTICAL EXAMINATION OF THE EFFECTIVENESS AND INFORMATION CONTENT BY FACTOR ANALYSIS

机译:用于图案识别的红外光谱的简单编码。 1:用因子分析法对效能和信息含量进行统计检验

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The spectral region from 700 to 3600 cm~(-1) is subdivided into several wave number intervals. The peaks in each interval are summarized by means of three encoding algorithms. Using a factor model of kcommon factors, the total extractable variance (com) of a given set of intervals is calculated and correlated with the redundancy of information in all these intervals. The value of com is verified by analysis of the factor loadings a_(ik) (factor pattern). Finally, the information content of some chosen sets of intervals coded by the three selected feature algorithms will be correlated to the probability of information flow through a serial-parallel network. The encoding using only wave numbers was found to be the most effective.
机译:将700至3600 cm〜(-1)的光谱区域细分为几个波数间隔。每个间隔中的峰通过三种编码算法进行汇总。使用kcommon因子的因子模型,可以计算给定间隔集合的总可提取方差(com),并将其与所有这些间隔中的信息冗余相关联。通过分析因子负载a_(ik)(因子模式)来验证com的值。最后,由三种选择的特征算法编码的某些选择的间隔集的信息内容将与信息流经串并行网络的概率相关。发现仅使用波数的编码是最有效的。

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