谱数据峰值的一种实时平滑算法

基于排列的逆序数，提出了一种判别谱测量数据中峰值的快速而简捷的方法。此法以增加计算机内存为代价，获得对谱数据预处理的保序性及实时性的要求。对缓时变物理量的实时监测的情况，采取了一阶差分方程取代的方法。最后给出了应用实例

A Real Time Smoothing Algorithm for Peak Value in the Spectral Data

A fast and simple method has been proposed to determine peak value in the spectral data, based on the inverse table permutation. This method sacrifices the computer memory for the acquirement of the order preserving and real time of the spectral pretreatment. Under the circumstance of the real time monitor for the low-frequency variables, the method of one order difference equation has been proposed. At last, an example of its application is given.