本文将分形理论引入多径衰落信道的描述，提出了一种利用分形滤波进行最小均方误差意义下信道参数估计的方法。
The fractal theory was applied to describe multipath fading channels, and a novel channel estimation scheme using fractal filter in the sense of minimum mean square error (MMSE) was presented.
分析了一阶分形模糊控制滤波器的频率-幅度特性，白噪声和有色噪声分形盒维数的变化；
The frequency-magnitude response of the fractal filter and the change of fractal box dimension of white noise and color noise are analyzed.
针对复杂背景及目标的分形特性差异，提取图像四个方向的灰度梯度，选择最小梯度大于阈值的区域进行平滑滤波，最后对分维参数进行分段线性拉伸。
Aiming at characteristic differences of background and target, four-direction gradient is extracted out and areas with large gradient are smoothed by a linear threshold filter.
提出了一种基于网格分形和自适应形态滤波器识别励磁涌流与内部故障电流的新方法。
Based on grille fractal and self-adaptive morphological filter, a novel approach to identify inrush current and internal fault current is presented.
讨论了滤波器中时间序列的短时分形盒维数的定义及分形模糊控制函数形式及选用方式。
The definition of short-time fractal box dimension and the fuzzy control function of the filter are discussed.
该文在深入分析可调滤波器金字塔算法的基础上，提出了一种基于分形理论和可调滤波器金字塔算法的自然纹理综合方法。
This paper analyzes thoroughly the steerable filter pyramid algorithm and presents a natural texture synthesis method based on fractal theory and pyramid algorithm.
采用C语言完成了灰度转换、图像差分、中值滤波、光流估计、形心确定、高速球控制等软件模块的程序设计，调试出程序执行时间并做了实时性分析；
Most software module programs are compiled with the language C, and the execution time of the program is debugged and the real-time performance compared as well.
误差图像进行分形矢量量化编码时，使用设计的自适应二维维纳数字滤波器，对收缩的均值图像进行滤波后，可构造好的码书。
When coding the erroneous image by fractal vector quantization, a self-adaptive 2-d wiener digital filter to filtrate the contracted mean value image, which can result into a good quality codebook.
用成形滤波器对高斯分布的白色过程滤波，便可以得到具有期望分数维的布朗运动分形图形。
The fractional Brownian motion based fractal Image with desired fractional dimension can be generated by applying its shaping filter to a Gaussian distributed white process.
用成形滤波器对高斯分布的白色过程滤波，便可以得到具有期望分数维的布朗运动分形图形。
The fractional Brownian motion based fractal Image with desired fractional dimension can be generated by applying its shaping filter to a Gaussian distributed white process.
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