1) statistic functional
统计量泛函
1.
The authors study robustness of order statistic using weak continuity and influence function of statistic functional which is defined on the probability distribution distance space, and apply the properties of lowpass and bandpass to document image processing for the median order statistic filter (MedOSF) and the maximum order st.
作者通过概率分布距离空间上统计量泛函的弱连续性及统计量泛函的影响函数,研究次序统计量的稳健性性质,考察各种概率分布类型下中值滤波器与最大值滤波器的低通、带通特性,并将它们成功应用于图像处理。
2.
The authors study robustness of order statistic using weak continuity and influence function of statistic functional which is defined on the probability distribution distance space, and apply the properties of lowpass and bandpass to document image processing for the Median Order Statistic Filter (MedOSF) and the Maximum Order St.
作者通过概率分布距离空间上统计量泛函的弱连续性及统计量泛函的影响函数 ,研究次序统计量的稳健性性质 ,考察在各种概率分布类型下中值滤波器与最大值滤波器的低通、带通特性 ,并将它们成功地应用于图像处
3) energy function
能量泛函
1.
The extreme value to energy function is described.
论述了能量泛函数极值的问题,证明了原微分方程的解和能量泛函数极值的等价性以及变分有限元方法与伽略金有限元方法的等价性,为其在油藏数值模拟中的进一步应用提供了理论依据。
4) energy functional
能量泛函
1.
Total variation energy functional with restrictions on the finite ridgelet domain;
有限脊波域受约束的全变差能量泛函
2.
Denoising algorithm based on gradient dependent energy functional,modify images towards piecewise constant functions.
利用能量泛函极小化方法对图像进行滤波时,通常用分段常数函数来近似图像,在滤除噪声的同时也丢失了许多纹理和细节信息。
3.
For the boundary value problem of it, the thin variation of energy functional, which is equivalent to it, is obtained, and the computing formulas based on Meshless Method are educed.
首先从热应力边值问题出发,给出了与其等价的能量泛函的弱变分形式,并导出了无单元方法的计算公式。
5) Quality Functional
质量泛函
6) functional arguments
泛函变量
补充资料:分布和特征量统计(见统计分析)
分布和特征量统计(见统计分析)
fenbu he tezhengliang tongjj分布和特征量统计见统计分析。
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