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 5-14dB higher than that of the conventional AR algorithm, and about 1.5-5dB higher than that of the latest differential auto regressive (DIAR) algorithm.
| Original language | English |
|---|---|
| Pages (from-to) | 918-922 |
| Number of pages | 5 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 28 |
| Issue number | 10 |
| Publication status | Published - Oct 2008 |
Keywords
- Adaptive playout algorithm
- Auto regressive algorithm
- Differential auto regressive algorithm
- Wavelet transform