根据小波多分辨率分析和水文序列的统计自相似性，提出了水文序列分形维数的小波估计方法，给出了其计算步骤。
Based on the statistical self-similarity of hydrolgy time series, a new approach for estimating the fractal dimension by using successive wavelet transform coefficients is proposed.
共混过程中的相区尺寸的演变过程具有自相似性，通过求取分形维数，从数量意义上，分析研究相分散动力学过程机理。
The result also show that evolvement process of the phaseregion size has the self-similarity and the fractal dimension can be a good means to study the evolution law of phase dispersion dynamics.
提出了时变维数的概念，对原有分数布朗运动模型加以拓展，使其成为具有局部自相似性的随机过程。
The concept of varying-time dimension is presented and the original fractional Brownian motion model is extended to be a locally self-similarity stochastic process.
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