该方法的特点是所用设备简单，载波频率稳定和无相位误差积累影响。
The advantages of this system are that the equipment used is simple, that the carrier frequency is stable and that no affects of phase-error accumulation exist.
另外，为了克服递推最小二乘出现的误差积累、传递现象，采用基于矩阵ud分解的递推最小二乘方法确定模糊模型的结论参数，从而实现模糊模型的结构和参数优化。
In addition, the recursive least square based on matrix UD decomposition is used to confirm the conclusion parameters of fuzzy model for the sake of accumulating and transferring o.
研究岭型主成分估计在降维估计类中的方差最优性，证明了它的方差阵在降维估计类中最小，方差阵的特征值最小，方差和及方差积最小。
This paper considers the classification compression principal component estimate of regression coefficient in growth curve model and proves that it is superior to least squares estimate.
研究岭型主成分估计在降维估计类中的方差最优性，证明了它的方差阵在降维估计类中最小，方差阵的特征值最小，方差和及方差积最小。
This paper considers the classification compression principal component estimate of regression coefficient in growth curve model and proves that it is superior to least squares estimate.
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