该文提出了一种新颖的在基于K元2 -立方体网络的SIMD计算机上运行的图像分块模板匹配并行算法。
This paper proposes a novel parallel algorithm for template matching of image division block based on a K-ary 2-cube network SIMD computer.
该算法首先利用分块高阶统计算法和基于最大类间方差的阈值算法得到目标的运动区域检测模板。
First, block higher order statistics and threshold via local maximal between-cluster variance are used to get the motion detection mask.
本文提出了分块法计算变结构电力系统非对称断相状态电气量值的新模型与新算法。
A new model and its algorithm to calculate the electric values for unsymmetrical open conductor states in power systems with variable configurations and parameters is presented.
该算法采用频域分块估计候选基音周期的范围，提高了算法的计算速度。
The proposed algorithm adopts frequency partition to estimate the range of pitch period, improving the computational speed.
该算法采用频域分块估计候选基音周期的范围，提高了算法的计算速度。
The proposed algorithm adopts frequency partition to estimate the range of pitch period, improving the computational speed.
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