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1)  sign prediction
符号预测
1.
This paper discusses the sign prediction and iterative calculation of the CORDIC algorithm in the rotation mode,and uses a parallel computation technique to accelerate it.
本文讨论旋转模式下CORDIC算法的符号预测和迭代计算问题,采用并行计算方法来加速CORDIC算法。
2)  preprinted symbol
预制符号
3)  symbol detection
符号检测
1.
This paper proposed the joint channel estimation and symbol detection based EM (expectation-maximization) algorithm which is suitable for the transmit diversity systems using space-time block code (STBC) in slow fading channels that assuming channel is invariant only during p symbol periods (p is the row number of the STBC transmission matrix).
提出了假设信道仅在p个符号持续时间内(p为空时分组码传输矩阵的行数)是不变的慢衰落条件下,适用于空时分组码发射分集系统的联合信道估计和符号检测的EM(Expectation-Maximization)算法。
4)  symbolized measurement
符号测量
1.
On the basis of introduction of the machine tool for pressing oil bearings, a neural net model is established to develop a symbolized measurement system of oil bearing in this paper.
在介绍含油轴承压入机的基础上 ,建立一种神经网络模型 ,并用此模型 ,实现含油轴承的符号测量系统。
5)  sign measure
符号测度
6)  Signed-Detector
符号探测
补充资料:发育进度预测法(见发生期预测)


发育进度预测法(见发生期预测)


  发育进度预测法见发生期预测。
  
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