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Analysis and Synthesis of Two Dimensional Fractional Brownian Motion Based on Wavelet

机译:基于小波的二维分数布朗运动分析与综合

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摘要

The 1/f family of fractal processes exist widely in various physical and social phenomena and are increasingly appealing researcher on signal detection and estimation, signal processing and image processing. Fractional Brownian motion is a convenient model for this kind of process. Wavelet transform is a useful tool to analyze fractal signal by its multi-resolution analysis capability. After analyzing the correlation structure of 2-D fBm signal's wavelet decomposition, this paper proposed a method to synthesize 2-D fBm and showed its application on producing harmonious patterns.
机译:1 / f分形过程家族广泛存在于各种物理和社会现象中,并且在信号检测和估计,信号处理和图像处理方面越来越吸引研究者。分数布朗运动是此类过程的便捷模型。小波变换通过其多分辨率分析功能,是分析分形信号的有用工具。在分析了二维fBm信号的小波分解的相关结构之后,提出了一种二维fBm的合成方法,并说明了其在产生和谐模式中的应用。

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