Finally, the proposed parallel computing based on fractal dimension algorithm improving the picture quality while also improving the coding rate.
最后，本文提出的基于并行计算分形维数的分形图像编码算法，在提高图像编码质量的同时，还提高了编码速率。
The fractal dimension algorithm using quartile deviation on non-stationary and nonlinear signals is introduced. And the accuracy of this algorithm is verified by simulation.
介绍了用于非平稳、非线性信号的四分位偏差分形维算法，并通过仿真实例验证了此计算方法的准确性。
It sums up some fractal algorithm on the basis of mastering the base knowledge of the fractal theory and dimension of the fractal geometry.
在了解分形理论的基本知识和分形几何的维数的基础上，对分形图形的算法作了总结。
To give applicable range of image analogies algorithm, based on the fractal dimension vector, a new operator used to measure the image similarity is proposed.
为了给出图像类推算法的适用范围，提出了一种新的基于分形维数向量的图像的相似性度度量算子。
Based on the blanket method, a novel algorithm for estimating the local fractal dimension of texture images is presented in this paper.
基于地毯法估计分形维数，提出了图像局部分形维数的最优估计方法。
In view of that it is difficult to measure the specific surface area, this paper propose a indirect algorithm of surface fractal dimension.
鉴于孔隙比表面积的测量比较困难，给出了表面分形维数的间接算法。
The algorithm first uses dynamic threshold algorithm which combines fractal dimension with wavelet transform to denoise the speech signal, it can extract pure speech as far as possible;
该算法首先利用分形维与小波变换相结合的动态阈值算法进行语音去噪，从而提取出尽可能纯净的语音信号；
Hence, in chapter four, combined with traditional quad-tree image compression method, an algorithm of quad-tree image compression based on fractal dimension is proposed.
因此，在本文的第四章结合经典四叉树方法，提出一种基于分形维数的四叉树方法。
The paper discusses the computing condition and precision of variance-time analysis and variation algorithm based-on fractal dimension definition.
另外还探讨了聚集过程的方差分析法和基于分形维数的定义的变换分析法的计算条件和精确度等特点。
We propose an improved algorithm based on fractal dimension and third-order characterization to detect dim target with cluttered background in an infrared (IR) image.
为解决复杂背景下的红外弱小目标检测问题，提出了一种基于分维和三阶特征量的改进方法。
We propose an improved algorithm based on fractal dimension and third-order characterization to detect dim target with cluttered background in an infrared (IR) image.
为解决复杂背景下的红外弱小目标检测问题，提出了一种基于分维和三阶特征量的改进方法。
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