A fast box counting algorithm for determining the fractal dimension of sampled continuous functions

Henri Boshoff
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引用次数: 10

Abstract

An adaptation of the box counting algorithm to samples of a continuous signal is given. An iterative scheme is combined with an exploitation of continuity to yield a fast method. This reduces the algorithm's complexity from quadratic to linear. The method is applied to speech segments; in this context it is faster than morphological filtering and Hurst analysis, and has comparable performance. The new algorithm is also suitable to be parallelized. It is applied to calculation of the dimension of fricative phonemes and automatic segmentation of speech into periodic/noiselike segments. This dimension value may be used instead of zero crossing rate in some applications.<>
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一种确定采样连续函数分形维数的快速盒计数算法
给出了一种适用于连续信号采样的盒计数算法。将迭代方案与利用连续性相结合,得到了一种快速的方法。这将算法的复杂度从二次元降低到线性元。将该方法应用于语音片段;在这种情况下,它比形态滤波和赫斯特分析更快,并且具有相当的性能。新算法也适用于并行化。将其应用于摩擦音素的维数计算和语音的周期性/噪声自动分割。在某些应用中,这个尺寸值可以代替零交叉率。
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