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Spectrophotometric applications of digital signal processing

机译：分光光度法在数字信号处理中的应用

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Spectrophotometry is more and more often the method of choice not only in analysis of (bio)chemical substances, but also in the identification of physical properties of various objects and their classification. The applications of spectrophotometry include such diversified tasks as monitoring of optical telecommunications links, assessment of eating quality of food, forensic classification of papers, biometric identification of individuals, detection of insect infestation of seeds and classification of textiles. In all those applications, large numbers of data, generated by spectrophotometers, are processed by various digital means in order to extract measurement information. The main objective of this paper is to review the state-of-the-art methodology for digital signal processing (DSP) when applied to data provided by spectrophotometric transducers and spectrophotometers. First, a general methodology of DSP applications in spectrophotometry, based on DSP-oriented models of spectrophotometric data, is outlined. Then, the most important classes of DSP methods for processing spectrophotometric data--the methods for DSP-aided calibration of spectrophotometric instrumentation, the methods for the estimation of spectra on the basis of spectrophotometric data, the methods for the estimation of spectrum-related measurands on the basis of spectrophotometric data--are presented. Finally, the methods for preprocessing and postprocessing of spectrophotometric data are overviewed. Throughout the review, the applications of DSP are illustrated with numerous examples related to broadly understood spectrophotometry.
机译：分光光度法不仅在分析（生物）化学物质方面，而且在鉴定各种物体的物理性质及其分类时，越来越成为一种选择方法。分光光度法的应用包括多种任务，例如监视光通信链路，评估食物的进食质量，对法医进行证件分类，对个人进行生物特征识别，检测昆虫对种子的侵扰和对纺织品进行分类。在所有这些应用中，分光光度计生成的大量数据都通过各种数字方式进行处理，以提取测量信息。本文的主要目的是回顾数字信号处理（DSP）应用于分光光度传感器和分光光度计提供的数据时的最新方法。首先，概述了基于面向DSP的分光光度数据模型的分光光度法中DSP应用的一般方法。然后，处理分光光度数据的最重要的DSP方法类别-分光光度仪器的DSP辅助校准方法，基于分光光度数据的光谱估计方法，与光谱相关的被测物估计方法提出了基于分光光度数据的方法。最后，概述了分光光度数据的预处理和后处理方法。在整个审查过程中，以与广泛理解的分光光度法有关的大量示例说明了DSP的应用。

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