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1·Research of ar model spectrum estimation theory.

AR模型谱估计理论研究。

2·According to detection and estimation theory, a new statistical function is used when having correlation test.

根据检测与估计理论，运用新的检测统计量进行相关检测。

3·Two different global localization methods based on Bayesian estimation theory are mainly investigated in the paper.

文中侧重研究了两种以贝叶斯概率后验估计理论为基础的全局定位方法。

4·Adaptive LP estimation theory and its solution method are introduced in this paper. statistics of SLR data is also done.

本文简要介绍了自适应Lp估计的有关理论和求解方法，并对SLR数据的测量误差作了统计分析。

5·An adaptive decision vertical handoff algorithm using the detection and estimation theory to support this model is provided.

然后应用检测与估值理论提出一种支持这一模型的自适应预测切换算法。

6·The corresponding nonlinear threshold functions (bivariate shrinkage function) are derived from the model using the Bayesian estimation theory.

基于贝叶斯估计理论，得到了相应的非线性阈值函数（双变量收缩函数）。

7·Based on analysis in effect factors on vehicle turning or changing lanes abruptly, this dissertation focus on application of state estimation theory on vehicle steering attitude.

本文在汽车高速行驶时紧急避让姿态的影响因素分析的基础上，对状态估计理论在汽车行驶姿态预估上的应用进行了研究。

8·Basing multiscale estimation theory of multi-sensors and single-model of dynamic system, the multiscale fuse algorithm and multiscale distribute fuse algorithm were studied respectively.

基于多传感器单模型动态系统的多尺度估计理论，研究了不同尺度上拥有不同统计特性的多尺度融合算法及多尺度分布式融合估计算法。

9·Based on the linear unbiased minimum variance estimation theory, an asynchronous fusion algorithm that fused the state vector of linear system with arbitrary correlated noises is developed.

基于线性无偏最小方差估计理论，提出了一种任意相关噪声异类传感器非线性系统状态矢量融合算法。

10·The results showed that the application of Robust Estimation Theory in forestry gray modeling could not only avoid the effect of gross error, but also reach the predicted precision over 80%.

结果表明，利用稳健估计理论来进行林业灰色建模，不但可以抗击粗差的影响，而且预测精度基本满足在80%以上。