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A Novel Wavelet Transform Modulus Maxima Based Method of Measuring Lipschitz Exponent

机译:一种基于小波变换模极大值的Lipschitz指数测量方法

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Singularities and irregular structures typically characterize the content of signals. The Lipschitz Exponent (LE) is the most popular measure of the singularity behavior of a signal. Most of the existing methods of measuring LE using wavelet transform are derived from the previous work of Mallat and Hwang in [1], which equals LE to the maximum slope of straight lines that remain above the wavelet transform modulus maxima(WTMM) curve in the log-log plot of scales versus WTMM. However this method is not always robust and precise especially in noise environment, because it is only the particular case of the inequation (25) in [1]. In this paper we adopt a new area-based objective function. Based on it, we choice the slope of the line, which minimize the objective function, as the value of LE from all the lines satisfying the inequation (25) in [1]. The results of experiment demonstrate that this method is more precise and robust.
机译:奇异和不规则结构通常是信号内容的特征。 Lipschitz指数(LE)是信号奇异行为的最流行度量。现有的大多数使用小波变换来测量LE的方法都来自Mallat和Hwang [1]的先前工作,它等于LE等于保留在小波变换模数最大值(WTMM)曲线上方的直线的最大斜率。比例与WTMM的对数对数图。然而,这种方法并不总是鲁棒且精确的,特别是在噪声环境中,因为它只是[1]中不等式(25)的特殊情况。在本文中,我们采用了一种新的基于区域的目标函数。基于此,我们从满足[1]中所有不等式(25)的所有线中选择LE的值作为最小化目标函数的线的斜率。实验结果表明,该方法更加精确,鲁棒。

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    《》|2007年||共5页
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    Lian Ke; Wang Houjun;

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