受扰非平稳高斯过程参数的抗差估计
Robust estimation of the parameters of a disturbed non-stationary Gaussian process
摘要：
在引力天线数据中检测引力波的一个典型问题是高斯噪声的非平稳性（以及变化的灵敏度）和大脉冲干扰的存在。在这样的条件下，在对大脉冲进行“粗略”清理之后，用经典估计器对高斯过程的标准偏差进行估计，结果往往很差。我们提出了一种方法的基础上，匹配滤波器适用于AR直方图的绝对值的数据
英文摘要：
A typical problem in the detection of the gravitational waves in the data of gravitational antennas is the non-stationarity of the Gaussian noise (and so the varying sensitivity) and the presence of big impulsive disturbances. In such conditions the estimation of the standard deviation of the Gaussian process done with a classical estimator applied after a "rough" cleaning of the big pulses often gives poor results. We propose a method based on a matched filter applied to an AR histogram of the absolute value of the data
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
