In this dissertation, a line extraction method based on cubic polynomial interpolation and minimum mean square error fitting are proposed, which can effectively extract lines out.
本文采用三次多项式插值和曲线拟合相结合的方法可简单有效地提取出在线掌纹的线特征。
This algorithm can realize linear minimum mean square error estimation of yaw rate, and on-line estimate statistical characteristic of system noise and observation noise during vehicle running.
该算法实现了横摆角速度的线性最小均方误差估计，且可对汽车行驶过程中的系统噪声和观测噪声统计特性进行在线估计。
Besides a comparison of the characteristic line, the normalized mean square root error, the normalized mean error, and the maximum deviation are calculated and discussed.
除了用单行数值比较法外，还计算了重组和数学模型之间的归一化均方根偏差、归一化平均偏差和最大偏差。
Besides a comparison of the characteristic line, the normalized mean square root error, the normalized mean error, and the maximum deviation are calculated and discussed.
除了用单行数值比较法外，还计算了重组和数学模型之间的归一化均方根偏差、归一化平均偏差和最大偏差。
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