本文提出了分形维数估计的子波函数方法。理论和计算机模拟实验表明，新方法不仅实现简单，而且具有较强的噪声抑制能力。
Wavelet - based method is proposed to estimate fractal dimension. It is shown in theory and in experiment that the new method is simple to implement and robust to noises.
提出了一种估计分形维数的新方法，并利用该方法估计自然纹理图像的分形维数。
A novel method for estimating the fractal dimension has been proposed and the method has been applied to estimate the fractal dimension in natural texture images.
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.
该方法利用了分形维数在噪声情况下作为语音端点检测参数的优越性，克服了在噪声情况下判决门限难以估计的问题。
The first is the endpoint detection based on fractal dimension. It utilizes fractal dimension superiority and overcomes the difficulty of decision threshold in noise environment.
该方法利用了分形维数在噪声情况下作为语音端点检测参数的优越性，克服了在噪声情况下判决门限难以估计的问题。
The first is the endpoint detection based on fractal dimension. It utilizes fractal dimension superiority and overcomes the difficulty of decision threshold in noise environment.
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