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- On the basis of introducing the basic principles of DFH, the process of frequency hopping is modeled as the homogeneous Markov chain. 本文在介绍差分跳频基本原理的基础上，将差分跳频的频率跳变过程建模成齐次马尔可夫链。
- In the paper, by means of the combinatorial matrix theory we give the methods for deciding the ergodic propety of finite homogeneous Markov chain according to two different definitions. 本文借助组合矩阵理论给出了有限齐次Markov链在两种不同定义下遍历性的判定方法
- In this paper a theorem on translating DHMM into Homogeneous Markov Chain is presented. The theorem offers a method of using Homogeneous Markov Cain which is perfect in theory to study DHMM. 本文给出一个将DHMM转化为齐次马尔可夫链的定理;该定理提供了利用在理论上比较完善的齐次马尔可夫链来研究DHMM的一个方法.
- AHP and Time Homogeneous Markov Chain AHP和齐次马尔柯夫链
- Homogeneous Markov Chain Analysis 齐次马尔可夫链分析法
- Time Homogeneous Markov Chain Evaluation on Teaching Quality 时齐马尔可夫链法在教学质量评估中的运用
- Fast Decide for the Ergodic Property of Finite Homogeneous Markov Chain 有限齐次Markov链遍历性的快速判定
- non homogeneous markov chain 非齐次马尔可夫链
- homogeneous markov chain 齐次马尔可夫链,均匀马尔可夫链
- A Markov Chain Approach to Baseball. 用于棒球。
- A Markov Chain Model of Tornadic Activity. 龙卷风活动的马尔科夫链模式。
- Commingled in an endless Markov chain! 合成一条无穷无尽的马尔可夫链！
- homogeneous markov chains 齐次马氏链
- We establish the strong limit theorem for countable Markov chains indexed by a homogeneous tree. 摘要研究了齐次树指标可列马氏链的一类强极限定理。
- A traffic load forecast model by optimally combined Markov chain is presented. 提出了一种基于最优组合马尔柯夫链的业务量预测模型 .
- As corollaries, we get the strong law of large numbers for the frequencies of occurrence of states and ordered couple of states for Markov chains indexed by a homogeneous tree. 作为推论，得到了齐次树指标可列马氏链关于状态和状态序偶出现频率的强大数定律。
- First of all, using the theory of general states Markov chain, we define some character number of skew product Markov chain. 利用一般马氏链的理论，首先给出了绕积马氏链的特征数的定义和相互关系。
- Markov chain models of cumulative damage have been provided a comprehensive descriptions of cumulative damage processes. 业已证明;累积损伤的马尔可夫链模型对累积损伤过程提供了综合的描述.
- A residence time distribution mathematic model by continuous-time Markov chain was built up. 将连续时间马尔科夫链与多级全混流串联模型结合建立停留时间分布数学模型。
- This developed the predictable method of Markov chain and widened the practice range. 发展了马尔科夫链预测方法，拓宽了其应用范围。
