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机构地区:[1]中国科学院长春应用化学研究所,长春130022 [2]长春冶金地质专科学校
出 处:《化学学报》1994年第8期807-812,共6页Acta Chimica Sinica
摘 要:以苯丙氨酸、酪氨酸和色氨酸三组分体系的荧光光度分析为例,研究了Kalman滤波法指示未知组分的潜力.根据新息序列的白噪音特性,建立指示函数,并确定指示函数的临界值,指示未知组分存在;并根据相对新息序列的形状可大致估计未知组分的荧光光谱的形状和峰位.The potential of Kalman filtering for indication of unexpected components in a mixture was experimentally evaluated by taking the spectrofluorimetric analysis of the tricomponent system of phenylalanine. tryptophen and tyrosine as an example. According to the whiteness of the innovation sequence, a criterion, which was defined as the mathematical expection of the sequence of the innovation normalized to the measured signals (normalized innovations), was developed to flag for unexpected emissions. Insights into the relationship between the innovation sequence and the measurement noises revealed that the normalized innovations are numerically equivalent to the relative standard deviations (RSD) of the measured signals and the value of the criterion therefore should be of the order of the square of the RSD. The threshold of the criterion was thus determined experimentally. An omission of any contributed component in the model destroyed the whiteness of the innovation sequence and hence made the criterion higher than the threshold. Thus, an unexpected component was indicated. Furthermore, the peak position and the shape of the emission from the unexpected component were also approximately estimated by checking the structure of the normalized innovation sequence.
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