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时间序列分析法已成功地用于结构的参数识别。本文所应用的数字滤波技术可使响应采样序列中高阶的信息消除，以便降低ＡＲＭＡＶ模型的阶数而克服拟合其参数时出现的困难。 文中指出了如何选择合适的滤波器，由模拟的向离散的滤波器的转换方法，以及消除其相位失真的逆置方法． 最后给出了应用滤波技术的时间序列法参数识别的仿真实例和实验实例。
Time series analysis method has been successfully used for structural parameter identification. The digital filtering technique used in this paper can eliminate the high-order information in the sample sequence so as to reduce the order of the ARMAV model and overcome the difficulties in fitting its parameters. The article pointed out how to select the appropriate filter, the conversion from analog to discrete filter, and the inverse method to eliminate the phase distortion. At last, the simulation examples and experimental examples of parameter identification using time-series filtering method are given.