状态维数的减少会使计算时间大大地缩短。
Any reduction in the number of states will significantly decrease the computation time.
属性约简是数据挖掘预处理中非常重要的一步,它通过减少信息的维数提高数据挖掘算法的效率。
Attribute reduction is one of important step in preprocessing of data mining, it improves the efficiency of the data mining algorithm by reducing the dimensions of the information.
用高斯-牛顿误差最小法将六维观测量转化为四元数,作为观测量的一部分,显著减少了直接使用EKF的计算量。
Gauss-Newton error minimization is used to transform six-dimentional reference vector to quaternion as a part of observations for EKF, which significantly reduces the computational requirement.
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