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1·Conclusion Optimal recursive estimation for predicting and filtering of state for this singular system are obtained.

结论得到了该系统状态的最优预测和滤波递推方程。

2·This paper deals with the closed form recursive estimation for parameters of almost periodic moving average (APMA) signal using higher order cyclic statistics.

本文利用高阶循环统计量讨论几乎周期滑动平均(apma)信号参数的闭式递推估计。

3·By using this material in Guangxi, the application of the linear autoregression model associated with weighting and recursive estimation was introduced for forestry.

以广西实际资料具体阐述了线性自回归加权递推模型在大林业中的应用。

4·By using recursive estimation in cointegrated VAR model, we analyze the relationship between real estate financial structure and growth of real estate economy in China.

本文运用VAR模型协整关系的递归估计方法，对我国房地产金融结构和房地产经济增长的关联性进行了分析。

5·The principle of Recursive Bayesian estimation was introduced which was the basis of Particle filter, and the significance of importance function to the design of particle filter was illustrated.

介绍了作为粒子滤波理论基础的递推贝叶斯估计的基本概念，说明了重要性函数对于粒子滤波器的设计是至关重要的。

6·The direct form for the recursive least squares estimation via matrix QR decomposition with one step data updated is given .

给出了当数据一步更新时，利用矩阵QR分解进行最小二乘估计的直接递推形式。

7·A new adaptive recursive algorithm for eigenvector estimation based on the relations between KLT and sliding DCT was presented.

基于KLT与滑动dct的相似关系，提出了一种新的特征向量自适应递推估计算法。

8·In the sense of linear unbiased minimum variance estimation, a global optimal recursive state estimation algorithm for this discretized linear system is proposed.

在线性无偏最小方差估计准则下，推导出了该离散化后所得系统的全局最优递推状态估计算法。

9·According to the structure characteristics of a time varying time series model, a new recursive parameter estimation algorithm of the time varying ar model is proposed.

根据对一类时变时间序列模型结构特点的研究，提出了一种时变ar模型的递推参数估计算法。

10·Finally, a synthesis method for recursive parameter estimation of a stochastic system is also discussed.

最后讨论了随机系统参数递推估算的综合方法。