A novel methodology for constructing accurate source models of MPEG VBR video traffic is described.
针对MPEG V BR视频业务的特性，提出了一种新的建模方法。
As to the time variation, non-linearity and long range dependence in VBR video traffic trace, a novel method of feature based on multi-scale decomposition was proposed.
针对其时变、非线性以及长相关性等特点，提出一种多尺度分解的VBR视频业务的特征提取方法。
It is the important method to realize the higher precision prediction and improve the utilizing rate. A support vector machine model is proposed to predict the VBR video traffic.
实现该信号通信量的高精度预测是提高信息传输速度和提高网络带宽资源利用效率的重要手段，本文提出采用支持向量机网络模型对VBR视频通信量进行预测。
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