In addition, strategies of motion track and adaptive search window are applied to reduce the computational complexity of motion estimation.
此外本文还采用运动跟踪和自适应搜索窗技术来减小运动估值的计算复杂性。
A mesh node motion estimation method based on feature window matching was presented to overcome block artifacts produced by block matching.
采用了基于特征窗口匹配的网格节点运动估计方法，有效地避免了块匹配法产生的块效应。
And then, to break a common limitation of the most traditional motion estimation algorithms, we proposed a new motion search strategy with adaptive stretched search window (ASSW).
然后，针对传统运动估计算法存在的一个共同问题，我们提出了自适应可拉伸搜索窗口(assw)的策略。
In addition, an on-line model estimation and updating procedure based on moving window approach was proposed.
同时基于滑动窗方法，提出模型在线估计和更新策略。
When the matching error based on the prediction of the motion vector is between two SAD thresholds, a search restricted in a small window is used to replace the original motion estimation.
当基于预测运动矢量的匹配误差介于两sad阈值之间时，用小窗口搜索代替运动估计。
The basic strategy of MHE is to reformulate the estimation problem asa quadratic program using a moving estimation window.
滚动时域估计的基本策略就是将状态估计问题化为一个二次规划问题。
Thus, the window spectrum estimation technique provides more effective model validation than the traditional back-test m.
为将基于窗谱估计的模型验证技术应用于金融时间序列领域，以解决金融时间序列模型的设定正确性。
By simplifying the objective function of maximum likelihood estimation, the algorithm can realize sequence synchronization and sequence estimation via adaptive iteration and wide window.
通过简化最大似然估计目标函数，提出了用自适应迭代法并结合宽窗口法来实现序列同步和序列估计。
Firstly, a background estimation method based on small window and two dimension median filter is presented after detail analysis of the model of small infrared target, noise and clutter.
首先分析了红外小目标、噪声及其杂波特性，提出了用小窗口的二维中值滤波进行背景估计；
In addition, in the power spectrum estimation to meet a window function and weighted problem.
另外，在功率谱估计中也要遇到窗函数加权问题。
The problem of estimating time-varying parameters of econometric models is discussed, by analysing the normal moving window method. A new estimation method-optimal moving window method is proposed.
本文在分析普通移动窗法的基础上，对计量经济模型的时变参数估计问题，提出了一种新的估计方法—最优移动窗法。
The effect of the weighting window on frequency estimation accuracy is also discussed.
讨论了加窗对频率估计误差的影响。
The results show that the precision of harmonic parameters estimation can be greatly improved by 4-order convolution window under the condition of less sampling synchronous deviation.
理论分析和数值结果均表明：在电力系统的频偏条件下，使用四阶卷积窗可显著提高谐波参量测量精度。
On estimation of optimal window size in m_ary algorithm in modular exponentiation and point multiplication;
定义了大窗口和小窗口，指出经典蚁群算法实质上是大窗口蚁窗算法。
On estimation of optimal window size in m_ary algorithm in modular exponentiation and point multiplication;
定义了大窗口和小窗口，指出经典蚁群算法实质上是大窗口蚁窗算法。
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