In this paper, the theories and methods to simplify the relation schema with keeping equal candidate keys by successive elimination technologies are given.
本文研究了通过消元法将一个关系模式化成与之具有相同候选关键字的一组简单关系模式的理论和方法。
By combining successive elimination technique with above method, weak LFM signals can be detected among some strong LFM signals and their parameters are estimated.
为了解决强弱混合信号中检测和估计弱lfm分量参数的问题，在上面方法的基础上，结合逐次消去技术提出了多分量LF M信号参数估计算法。
In order to reduce the calculation number of matching position and keep the precision, we make use of the successive elimination algorithm. Therefore, the complexity was reduced.
为了减少块匹配过程中每个待匹配位置的运算次数，保持块匹配的精度，又引入了连续排除算法，降低了计算复杂度。
For decreasing the computational complexity of searching process in best neighborhood matching method, a fast error concealment algorithm using successive elimination was proposed.
为了减少自相似错误隐藏算法中搜索过程的计算复杂度，提出了一种基于连续淘汰的快速自相似错误隐藏算法。
For decreasing the computational complexity of searching process in best neighborhood matching method, a fast error concealment algorithm using successive elimination was proposed.
为了减少自相似错误隐藏算法中搜索过程的计算复杂度，提出了一种基于连续淘汰的快速自相似错误隐藏算法。
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