stochastic filtering

stochastic filtering的基本解释

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随机滤波

与stochastic filtering相关的网络例句 [注：此内容来源于网络，仅供参考]

In discrete-time linear system, apriori H〓 filtering, aposteriori H〓 filtering, L〓 apriori filtering with an H〓 error bound, L〓 aposteriori filtering with an H〓 error bound, robust H〓 apriori filtering, robust apriori L〓 filtering, and robust aposteriori L〓 filtering to noise inputting matrix uncertainty system are considered.

对离散线性系统，研究了确定性系统的H〓验前滤波和验后滤波、H〓约束下的L〓验前滤波及验后滤波、不确定性系统的H〓验前滤波、鲁棒L〓验前滤波及噪声输入矩阵不确定性情况下的鲁棒L〓验后滤波。

Through simulation, the size of the filter template affecting on filtering imaging is investigated, the filtering effects of second mean filtering method and vector filtering method at the same size of filter template is comparised, the curve distribution of power spectral density of second mean filtering method and vector filtering method is analyzed.

仿真实验研究了滤波模板的大小对滤波效果的影响，比较了在同样模板的选取下向量滤波方法与二次均值滤波法的滤波效果，分析了向量滤波方法与二次均值滤波法的功率谱密度分布。

This paper is mainly the dynamic input-output model that the time lag is one, which is base on the above models. After studying, we consider stochastic factor step by step in it, namely when consumption coefficient matrix is stochastic (when investment matrix is stochastic, it is almost same. So we dont research it), and they are both stochastic, then we research the stable increase solution. We utilize the means of the modern stochastic analysis and Markov process, that the stochastic dynamic input-output model don not exist the stable solution is proved. Namely, economic system must is adjusted constantly. The probability that the collapse time of the economic system is o is one.

本文对在上述基础上构造的一类时滞为1的动态投入产出模型，进行了深入研究，将随机因素逐步考虑进去，即对投入产出消耗系数矩阵为随机的情况(投资系数矩阵为随机的情况与投入产出消耗系数矩阵为随机的情况大致相同，这里就不再证明)，以及二者同时为随机矩阵时所得到的动态投入产出模型的稳定增长解问题，利用现代概率分析及马氏过程的工具，证明了不存在随机动态投入产出模型的稳定增长解；即投入产出模型反映的经济系统必须经常进行调整，其崩溃时间为无穷大的概率为零。

与stochastic filtering相关的网络解释 [注：此内容来源于网络，仅供参考]

stochastic filtering：随机滤波

stochastic dynamic programming 随机动态规划 | stochastic filtering 随机滤波 | stochastic game 随机对策