【摘要】 由于使用环境和本身功能的影响,运载机械在进行实测数字信号采集时,常常会出现干扰信号值,即数字信号奇异值。准确地剔除数字信号奇异值是实测数字信号处理中的一项关键工作。提出了基于最小航道法的数字信号奇异值剔除算法,根据数据的变化趋势进行数字信号奇异值的甄别与检测。与幅值门限检测法和梯度门限检测法进行了对比分析,结果表明基于最小航道法的奇异值剔除算法优于幅值门限检测法和梯度门限检测法,处理结果真实可靠。更多还原

【Abstract】 Due to the influence of the electromagnetic field and environment,there are spikes in the measured digital signal of carrier machinery.Eliminating the spike accurately is a key work of the digital signal processing.The algorithm based on the racetrack method of eliminating spike was put forward.This algorithm detects the spike according to the changing trends of the data,distinguishes spike and normal data obviously.Compared with the treatment results with amplitude threshold detection and differential threshold detection,the results show that the algorithm based on the racetrack method of eliminating spike is better than the others.更多还原