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1)  m-order Markov information source
m阶马氏信源
1.
As corollaries,some Shannon-Mcmillan theorems for arbitrary information source,m-order Markov information source are obtained and some results for the discrete information source are extended.
并由此得出若干任意信源,m阶马氏信源的Shannon-Mcmillan定理。
2.
As corollaries,some Shannon-Mcmillan theorems for arbitrary information source,m-order Markov information source and non-memory information source are obtained and some results for the discrete information source which has been obtained by author are extended.
采用构造相容分布与非负上鞅的方法研究任意信源随机和相对熵密度的强极限定理,并由此得出若干任意信源,m阶马氏信源,无记忆信源的随机Shannon-Mcmillan定理。
3.
As corollaries,some asymptotic equipartition property theorems for arbitrary information source,m-order Markov information source,and non-memory information source were obtained.
得出了若干任意信源、m阶马氏信源、无记忆信源的渐进均匀分割性定理,并将已有的关于离散信源的结果进行了推广。
2)  m order nonhomogeneous Markov information source
非齐次m阶马氏信源
1.
In this paper, we study the asymptotic equipartition property (AEP) for m order nonhomogeneous Markov information source.
本文研究非齐次m阶马氏信源的渐近均分割性。
3)  m order Markov chains
m阶马氏链
4)  nonhomogeneous Markov information sources
非齐次马氏信源
1.
A strong law of large numbers for nonhomogeneous Markov information sources;
关于非齐次马氏信源的一个熵定理
5)  homogeneous Markovinformation sourses
齐次马氏信源
6)  Markov Chain of Order 2 information source
二重马氏信源
1.
Author study the Markov Chain of Order 2 information source, and a class limit theorems about it ar Obtained.
首次研究了二重马氏信源问题,得出了关于有限二重马氏信源的一类极限定理。
补充资料:信马
1.任马行走而不加约制。
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