A product correlation algorithm of image registration based on feature and spatial-temporal correlation was presented.
提出了基于特征和时空关联的积相关图像匹配算法。
CEP engines have sophisticated techniques for event correlation, based on pattern matching and event definitions, and might be spatial or temporal.
CEP引擎具有成熟的事件关联技术(基于模式匹配和事件定义)，可以采用空间或时间模式工作。
Based on theory of compound scatter, the amplitude distribution, temporal correlation and spatial correlation were discussed here.
基于海杂波的复合散射理论，分析了海杂波的统计分布模型、时间相关性和空间相关性。
Based on the stationary, the correlative length was applied to describe its temporal-spatial correlation, and then two conclusions were made.
在平稳的基础上，使用相关长度刻划背景起伏的时空域相关性，得到两个结论。
We analyzed the variation of diffusion with the fractional order by applying the numerical scheme in a test case and verified the temporal and spatial correlation.
针对理想算例进行计算求解，分析了时间和空间分数阶阶数取不同值时的扩散变化规律，验证了各自所描述的时间相关性与空间相关性。
The algorithm uses a difference image histogram of four directions to measure the influence of spatial correlation, and temporal correlation is measured by the histogram of frame difference.
该算法利用视频序列中各帧的四方向差分直方图度量隐写对空间相关性的影响，同时利用相邻帧帧间差分的直方图度量隐写对时间相关性的影响。
The algorithm uses a difference image histogram of four directions to measure the influence of spatial correlation, and temporal correlation is measured by the histogram of frame difference.
该算法利用视频序列中各帧的四方向差分直方图度量隐写对空间相关性的影响，同时利用相邻帧帧间差分的直方图度量隐写对时间相关性的影响。
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