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Wavelet-based multifractal analysis of 1-D and 2-D signals: New results

机译:一维和二维信号基于小波的多重分形分析:新结果

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During the past decade, new tools stemming from fractal geometry and wavelet analysis are meeting with great success in signal image processing. This paper will focus on these two topics: Wavelets and Multifractal. Both themes evolved towards self contained theories, and yet, a host of reasons justify for coupling them in same applications. It is well known that both analyses share the same conceptual backbone of “scale”: it is the “mathematical zoom” commonly associated to wavelet analysis and it is the “scaling laws” that underlie multifractal structures. Very naturally then, wavelets stood as a privileged tool for analyzing and characterizing multifractal signals and images. Hence, the purpose of this paper is to illuminate some of the issue involved in taking advantage of the current advances in wavelets and multifractals analysis. We discuss continuous, discrete, orthogonal wavelets and present applications to fracture processes and medical ultrasound imaging.
机译:在过去的十年中,源自分形几何和小波分析的新工具在信号图像处理方面取得了巨大的成功。本文将重点关注这两个主题:小波和多重分形。这两个主题都朝着独立的理论发展,但是,有许多理由证明了将它们结合在同一应用程序中的合理性。众所周知,这两种分析共享“尺度”的相同概念主干:通常是与小波分析相关的“数学缩放”,而正是“尺度定律”是多重分形结构的基础。因此,非常自然地,小波成为分析和表征多重分形信号和图像的特权工具。因此,本文的目的是阐明利用小波和多重分形分析的最新进展所涉及的一些问题。我们讨论了连续的,离散的,正交的小波,并将其应用于骨折过程和医学超声成像。

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