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Size-location patterns of different wavelets in signal processing

机译:信号处理中不同小波的大小定位模式

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摘要

Wavelets are used as a cutting-edge tool in the signal processing area. One of the characteristics is that wavelets can be used to detect the local changes of a signal(transition), which is the traditional Fourier method can not do. When we implement the wavelet transform to the signal, the transition of signal will reflect upon the magnitude of the coefficients at that location. In this article, we expeiment some signals with wavelets in different lengths, then we compare the size-location patterns with distnct wavelets. From these demonstrations, we conclude that the size-location of the wavelets coefficients remains constant from one wavelet to another.
机译:小波被用作信号处理领域中的尖端工具。特征之一是小波可以用来检测信号的局部变化(过渡),这是传统的傅立叶方法无法做到的。当我们对信号执行小波变换时,信号的跃迁将反映该位置处系数的大小。在本文中,我们用不同长度的小波处理了一些信号,然后将尺寸-位置模式与离散小波进行了比较。从这些演示中,我们得出结论,小波系数的大小位置从一个小波到另一个小波保持不变。

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