A robust parameters estimation algorithm is proposed in this paper, which is based on uniform design for a linear regression model in the case of its coefficient matrix with random disturbance.
针对一个线性回归模型的系统矩阵存在的随机扰动情况，提出一种基于均匀设计的稳健参数估计算法。
Based on the detail analysis of optical flow model, a robust multi-resolution estimation approach of optical flow is proposed, and some practical problems are also discussed on target detection.
该文在分析光流模型约束条件的基础上，提出了一种鲁棒的多分辨率光流估计方法，并对光流应用于目标检测的一些实际问题进行了探讨。
Background estimation based on block is proposed to solve the problem of building background model and updating background which can enhance the robust of moving object detection.
针对静态背景下的背景差法，通过研究如何得到、以及如何及时更新背景模型，增强运动目标检测随环境变化的鲁棒性，提出了多级分块的背景估计方法。
In order to overcome the disturbance of noises, a robust identification method of water quality model parameters namely trust region algorithm based on M-estimation is proposed.
为了克服随机噪声对河流水质模型参数估计的干扰，提出了一种水质模型参数的鲁棒估计方法，即基于M -估计的信赖域算法。
The results show that the robust principal component estimation can not only overcome the ill condition of the normal equation. but also resist the outlier effects to the model parameters.
结果表明：抗差主成分估计不仅可以解除法方程系数降的病态，而且对于抑制观测粗差的影响也有显著功效。
The results show that the robust principal component estimation can not only overcome the ill condition of the normal equation. but also resist the outlier effects to the model parameters.
结果表明：抗差主成分估计不仅可以解除法方程系数降的病态，而且对于抑制观测粗差的影响也有显著功效。
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