当系数矩阵也存在噪声时，总体最小二乘解是参数向量的强一致估计。
When the datamatrix is also inaccurate, TLS can give strongly consistent estimation.
最后，基于优化的总体最小二乘解确定光学特征点相对世界坐标系的姿态。
Finally, the attitude of optical characteristic points relative to the word coordinate system was obtained based on the optimization solution.
针对输入输出观测数据均含有噪声的滤波问题，提出了一种稳定的总体最小二乘自适应算法。
Aiming at the filter problem that exists when the input and output signal are both corrupted by noise, a robust total least square adaptive algorithm is proposed.
针对基因表达数据含有噪声的特点，提出了基于总体最小二乘估计的基因表达缺失值估计算法。
Consider the additive noise in the expression dataset, a new method based on Total Least Squares (TLS) is presented.
根据系统数据矩阵不存在扰动和存在扰动两种情况，分别给出波达方向的最小二乘估计和总体最小二乘估计。
Under the circumstances of no perturbation and with perturbation in coefficient matrix, both LS and TLS estimators were proposed.
本文提出了一种在相控阵雷达中利用总体最小二乘(TLS)估计进行目标角度截获，提取目标角度信息的方法。
An Angle acquisition method is proposed in this paper based on Total Least Squares (TLS) estimation with phased array radar.
与原有算法相比，新算法大大提高了总体最小二乘图像去噪算法的效率，并保证了去噪质量特别是保持图像边缘结构以及点特征。
This new method can shorten the runtime as well as improve efficiency of denoised arithmetic, while ensure the denoising quality, especially in the point, line, and edge regions.
与原有算法相比，新算法大大提高了总体最小二乘图像去噪算法的效率，并保证了去噪质量特别是保持图像边缘结构以及点特征。
This new method can shorten the runtime as well as improve efficiency of denoised arithmetic, while ensure the denoising quality, especially in the point, line, and edge regions.
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