一种基于小波变换的自适应播放算法

An Adaptive Playout Algorithm Based on Wavelet Transform

  • 摘要: 针对网络传输中延时的非平稳特性,提出了一种基于小波变换的自适应播放算法. 通过小波变换将非平稳的延时序列变为多个平稳的分量,再对各平稳分量采用不同自适应速率的自回归(AR) 模型进行预测,将各个预测分量利用小波重构得到最终的端到端延时. 仿真结果表明,该算法的预测精度比传统的AR算法提高了5~14dB,比新提出的差分自回归 (DIAR) 算法提高了1.5~5.0dB.

     

    Abstract: In response to the non-stationary characteristics of the network delay, a new adaptive playout algorithm based on wavelet transform is proposed. This algorithm uses wavelet transform to decompose the non-stationary delay series into several stationary components, and then all these components are predicted by,auto regressive(AR) models with different adaptation rates. Subsequently, the final end-to-end delay is obtained by wavelet reconstruction with the predicted components. Simulation results showed that the prediction precision of the new algorithm is about 5~14dB higher than that of the conventional AR algorithm, and about 1.5~5dB higher than that of the latest differential auto regressive (DIAR) algorithm.

     

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