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Wavelet Packet Variance Methods for Multi-period Analysis of Signal

机译:用于信号多周期分析的小波包方差方法

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In the multi-period structure analysis, the period of signal obtained by the maximal overlap discrete wavelet variance has significant limitations. In this paper, in contrast to the wavelet variance analysis, we present a method of maximal overlap discrete wavelet packet variance to analyze the variance diagram or power spectrum at different scales, and then obtain the period of signal by estimating the maximum value. Experiments show that the method of wavelet packet variance can estimate the multi-period structure of the signal accurately. It is an effective method for signal or time series periodic structure analysis.
机译:在多周期结构分析中,最大重叠离散小波方差获得的信号周期具有明显的局限性。在本文中,与小波方差分析相反,我们提出了一种最大重叠离散小波包方差的方法,以分析不同尺度下的方差图或功率谱,然后通过估计最大值来获得信号周期。实验表明,小波包方差法可以准确估计信号的多周期结构。它是信号或时间序列周期结构分析的有效方法。

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