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A Fast Algorithm for Extracting the Characteristic Parameters of Impulse Response Signal

机译:提取脉冲响应信号特征参数的快速算法

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摘要

Based on the analysis of the traditional methods which require a large amount of computation, a fast algorithm for extracting the characteristic parameters of impulse response signal is proposed. In this method, the signal is processed with the wavelet transform to get the positions of the impulse components by using its characteristic of time-frequency localization. Then the computing interval which is much shorter than that of the traditional algorithm is set with the position of the impulse as the center. The characteristic parameters are extracted by searching the maximum of the correlation coefficient between the fault signal and the Laplace wavelet in the interval. The simulation result shows the method can extract the characteristic parameters quickly and accurately.
机译:在分析传统方法需要大量计算的基础上,提出了一种快速提取脉冲响应信号特征参数的算法。在这种方法中,利用小波变换对信号进行时频局部化的特征,从而得到脉冲分量的位置。然后,以脉冲的位置为中心设置比传统算法短得多的计算间隔。通过搜索区间中故障信号和拉普拉斯小波之间的相关系数的最大值来提取特征参数。仿真结果表明,该方法可以快速,准确地提取特征参数。

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