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

Lian Ke, Wang Houjun
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引用次数: 5

Abstract

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 scale s 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.
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一种基于小波变换模极大值的Lipschitz指数测量方法
奇点和不规则结构是信号内容的典型特征。利普希茨指数(LE)是测量信号奇点行为最常用的方法。现有的利用小波变换测量LE的方法大多来自于Mallat和Hwang在[1]中所做的工作,将LE等同于s尺度相对于WTMM的对数-对数图中保持在小波变换模极大值(WTMM)曲线之上的直线的最大斜率。然而,这种方法并不总是鲁棒和精确的,特别是在噪声环境下,因为它只是[1]中的不等式(25)的特殊情况。本文采用了一种新的基于区域的目标函数。在此基础上,我们从满足[1]中的不等式(25)的所有直线中选取使目标函数最小的直线斜率作为LE值。实验结果表明,该方法具有较高的精度和鲁棒性。
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