马尔可夫切换模型是一种研究时间序列结构性变化的方法。

Markov-switching model is a method applied to investigating the structural changes of time series.

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对于具有频繁场景切换的视频流量采用的是马尔可夫链调制的AR(1)模型。

Ar (1) model is used to model the video with individual scene, Markov Modulated ar (1) model is used to model the video with frequent scene changes.

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针对具有频繁场景切换的视频流，用马尔可夫链来模拟视频场景之间的切换，场景内部用自回归模型来建模。

For the frequently scene switching video traffic, it USES Markovian to simulate the switching among the scenes, and USES self-regression model to modeling inside the scene.

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