本文研究了基于外定界椭球集合的参数集估计问题。
This paper makes a study of parameter set estimation based on extend bounding ellipsoid set.
基于模糊集的嵌入定理，对非精确数据的分布提出一种统计参数族，并给出相应的点估计方法。
Based on the embedding theorem of fuzzy sets, we consider a sort of parameter family for the distribution of imprecise data and propose the corresponding point estimation approach.
每一个对象由三个参数集表示，即运动、形状以及纹理信息，其中运动估计与形状编码为两个最重要的部分。
Each object is specified by three sets of parameters, namely, motion, shape as well as texture information. Among them, both motion estimation and shape encoding are particularly critical.
采用新的快速M鲁棒估计法获得摄像机全局运动参数集；滤波该参数集滤除随机抖动带来的运动噪声。
The method got global motion parameters by local motion vectors through quick M-robust estimation; these parameters are filtered to remove stochastic motion noise.
本文讨论了在噪声功率有界的假设下双线性系统参数的集员辨识，给出了双线性系统参数集员估计的递推形式，并讨论了收敛性。
Based on the assumption of the unknown-but-bounded (UBB) noise, an interval algorithm for set-membership identification of parameters of linear time-invariant system was used to seek the minimal.
该方法应用于催化裂化十集总动力学模型轻循环油反应网络动力学参数估计，降低了搜索算法对初值和实验误差的要求，保证了收敛稳定性。
The new method not only lowered the requirements to initial values, but also insured the convergence stability in using it to predict the parameters of the rate consta…
通过迭代求解法和高斯金字塔模型，快速精确地估计得到配准参数，采用凸集投影（POCS）算法对图像序列进行了超分辨率重建。
Based on the set theoretic formulation, a projection onto convex sets (POCS) algorithm is applied to find the solution to face image reconstruction.
通过迭代求解法和高斯金字塔模型，快速精确地估计得到配准参数，采用凸集投影（POCS）算法对图像序列进行了超分辨率重建。
Based on the set theoretic formulation, a projection onto convex sets (POCS) algorithm is applied to find the solution to face image reconstruction.
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