The Iterative Filtering method is a technique aimed at the decomposition of non-stationary and non-linear signals into simple oscillatory components. This method, proposed a decade ago as an alternative technique to the Empirical Mode Decomposition, has been used extensively in many applied fields of research and studied, from a mathematical point of view, in several papers published in the last few years. However, even if its convergence and stability are now established both in the continuous and discrete setting, it is still an open problem to understand up to what extent this approach can separate two close-by frequencies contained in a signal. In this paper, following the studies conducted on the Empirical Mode Decomposition and the Synchrosqueezing methods, we analyze in detail the abilities of the Iterative Filtering algorithm in extracting two stationary frequencies from a given signal. In particular, after reviewing the Iterative Filtering technique and its known properties, we present new theoretical results and numerical evidence showing the ability of this technique in addressing the fundamental "one or two frequencies" question.
翻译:迭代过滤法是一种技术,旨在将非静止和非线性信号分解成简单的血管元件。十年前作为实验模式分解的一种替代技术而提出的这一方法,从数学角度在许多应用的研究领域广泛使用,并在过去几年发表的若干论文中从数学角度进行了广泛研究。然而,即使其趋同性和稳定性现已在连续和离散的设置中确立,但还是一个未决问题,无法理解这种方法在多大程度上能够将信号中所含的两个近距离频率分离。在本文中,在对“超常模式分解”和“同步化”方法进行的研究之后,我们详细分析了在从给定信号中提取两个固定频率的循环过滤算法的能力。特别是在审查了“静态过滤法”及其已知特性之后,我们提出了新的理论结果和数字证据,表明该技术在解决基本“一个或两个频率”问题方面的能力。