In this paper, we discuss three types of video source models: a autoregressive model, a Markov-modulated fluid flow model, and a Markov-modulated Poisson process model (MMPP).
在本论文中，我们讨论了三种视频源模型：自回归模型、马尔科夫调制流体流模型、马尔科夫调制泊松过程模型(MMPP)。
In this paper, we study the asymptotic equipartition property (AEP) form 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。
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。
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.
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。
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.
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。
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