A Prediction Algorithm for Real-Time Video Traffic Based on Wavelet Packet

摘要：

　　Long-term prediction is a key problem in real-time video traffic applications.Most of real-time video traffic belong to VBR traffic and has specific properties such as time variation,non-linearity and long range dependence.In this paper,feature extraction method of real-time video traffic based on multi-scale wavelet packet decomposition is proposed.On this basis,LMS algorithm is adopted to predict wavelet coefficients.Through reverse wavelet transforms of the predicted wavelet coefficients,the long-term prediction of realtime video traffic is realized.Numerical and simulation results show that this long-term prediction algorithm can accurately track the variation trend of video signal and obtain an excellent prediction result.

关键词： real-time video traffic wavelet packet multi-scale decomposition long-term prediction LMS

作者: Wen Yingyou Li Zhi Chen Jian Zhao Hong

作者单位: College of Information Science and Engineering, Northeastern University, Shenyang, 110003, China;Key College of Information Science and Engineering, Northeastern University, Shenyang, 110003, China

会议类型: 国内会议

会议名称: 第二届中国互联网学术年会

会议地点: 张家界

会议语种:英文

页码: 1-5

在线出版日期: 2013-07-01（万方平台首次上网日期，不代表论文的发表时间）