迭代累积平方和算法与自回归赤池准则算法在地震信号到时估算中的比较研究

介绍了不同于自回归赤池准则算法(AR-AIC)的另外一种到时估算方法累积和法(CUSUM). 作为一种序贯分析方法， 累积和法主要用于满足一定噪声假设且相对稳定的数据序列中， 用以检测其发生异常改变的信号到时位置. 其中重点介绍了改进后的累积和算法迭代累积平方和算法(ICSS)的基本原理及其在区域震到时估算方面的应用实例， 并将其与AR-AIC算法的到时估算结果进行了比较分析. 分析结果表明， 相对于AR-AIC算法， ICSS算法在对区域震S波和Lg波的到时估算方面具有估算误差小、 计算时间短的优势， 具有一定的应用价值.

A comparative study between ICSS and AR-AIC algorithms on onset time estimation for seismic signals

This paper introduces another onset time estimation method, cumulative sum algorithm (CUSUM for short), which is different from AR-AIC algorithm. As a sequential analysis method, CUSUM is mainly used to detect the onset time of anomalous signals with the assumption that background noises are quasi-stationary. This paper mainly introduces the improved CUSUM method,iterative cumulative sums of squares algorithm (ICSS for short) and its application to onset time estimation for regional seismic signals. The results indicate that, in comparison with AR-AIC algorithm, ICSS algorithm has a certain advantage of minor error in estimating onset times of regional S and Lg waves, and it takes less time to compute than AR-AIC algorithm.