论文提出了一种计算有限状态离散时间马尔科夫链平稳分布的算法。
An algorithm for computing the stationary distribution of finite state discrete time Markov Chains is provided in the paper.
并由此推导出频谱可用性的统计规律，将频谱感知结果建模为离散时间马尔科夫链。
Accordingly, statistical characteristic of spectrum availability is induced and spectrum sensing results is formulated as a discrete time Markov chain.
本文阐述了离散时间点过程理论，时变马尔科夫链及鞅差分序列在城市交通车队状态观测器中的应用。
This paper presents some applications of discrete - time point process theory, time - varying Markov chain and Martingle difference in urban traffic computer-based control systems.
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