前言 近十年来,从实验数据中得到更多的信息已经成为分析化学中的一个重要研究领域。数字滤波已在分析化学的很多方面得到应用。所谓滤波,就是把信号的一个成分与另一些成分分开,进行滤波可减少噪声的影响,并使含有有用信息的信号(如峰形或峰高)变形最小。卡尔曼滤波(Kalman filter)是一种递推式算法和适用于小型 Introduction In the last decade, getting more information from experimental data has become an important area of ​​research in analytical chemistry. Digital filtering has been applied in many aspects of analytical chemistry. The so-called filter, is to separate one component of the signal from other components, and filtering can reduce the influence of noise and minimize the deformation of signal (such as peak shape or peak height) containing useful information. Kalman filter is a recursive algorithm and is suitable for small