大家都搜：
最佳估计，优化估计
1、alienor optimal───阿利诺最优
2、estimation jar───估算罐
3、asus optimal───华硕最优
4、estimation error───n.[数]估计误差，估测误差
5、estimation calculator───估算计算器
6、curve estimation───曲线估计
7、point estimation───[数]点估计
8、estimation 180───估计180
9、estimation 360───估计360
1、It is a new useful optimal estimation recursion filter.───这种滤波器是一个新的有用的最优估计递推滤波器。
2、The theory and method of the spatial optimal estimation on the water quality parameters of lake.───湖泊水质参数空间优化估算的原理与方法。
3、the trust-region method is employed to obtain optimal estimation of blur parameter.───采用信赖域方法来获取模糊参数的最优估计。
4、The Best Model of Spatial Optimal Estimation for Spatial Variability of Porous Media's Heterogeneity in Water Environmental Simulation───水环境模拟中多孔介质非均质性空间变异最优估计模型
5、Then the optimal estimation of the object state parameters is obtained by Bayesian inference.───然后利用贝叶斯推理获得目标外观状态参数的最优估计；
6、Adaptive threshold method, by the optimal estimation of the threshold, can increase the SNR as well as denoising.───采用自适应阈值方法，通过最佳阈值的估计，在去噪的同时进一步提高信噪比。
7、One of the algorithms is to linearized the state equation based on the optimal estimation.───其中一种方法是基于当前最优估计值对状态方程进行线性化。
8、On Applying Haar Wavelet to Achieving Better Optimal Estimation for a Class of Dynamic Multiscale System───基于Haar小波的一类动态多尺度XiTong最优估计算法
9、In this paper, the Kriging method is used for optimal estimation of the point and areal precipitation.───本文应用克里格法对点雨量和面雨量进行了最优估计。
1、Then the optimal estimation of the object state parameters is obtained by Bayesian inference.
2、In this paper, an effective algorithm is derived for optimal estimation and multiresolutional decomposition of noisy random signals.
3、Based on the key idea of using HMMF model, the optimal estimation for the label field is found in a function optimization framework.
4、It is a new useful optimal estimation recursion filter.
5、The optimal estimation algorithm of measurement noise and the optimal state fusion algorithm for multi-channel system with multiplicative noises are mainly researched in this dissertation.
6、The vectorized algorithms for GPS based attitude determination can be equivalent to a two-level optimal estimation problem.