摘要
针对工程测试中较常见的具有Ｇａｕｓｓ 分布的平稳随机信号，提出了一种基于极性相关方法的计算信号间标准化互相关函数的快速算法． 理论分析和实际运行都表明该算法可以有效缩短标准化互相关函数的计算时间，适用于在线逐点跟踪信号样本的变化．仿真实验表明该方法可较好地用于上限截止频率为１００ Ｈｚ 左右的Ｇａｕｓｓ 分布随机信号的在线相关分析．
A fast algorithm, which is based on polarity correlation method for the calculation of normalized cross\|correlation function, is presented. It is suitable for stationary random signals which have Gauss distribution. It has been proved that this method can increase calculation efficiency considerably, and be applicable for on\|line calculating in following the variations of signal samples. The method can be used for the on\|line correlation analysis of Gauss distribution signals which have the upper frequency about 100 Hz.
