Adaptive play out algorithm based on wavelet transform and kernel estimation in VoIP

Zhongbo Li*, Tao Tao, Sheng Hui Zhao, Jing Ming Kuang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Adaptive play out algorithms are used at the receiver to combat jitter problems in Voice over IP (VoIP). The play out algorithms rely on short term estimations of the characteristics of network delay that would be experienced by up-coming voice packets. This paper proposes a new adaptive play out algorithm based on wavelet transform and kernel estimation. The proposed algorithm uses wavelet transform to decompose non-stationary delay series into several stationary components, and then predicts all these components with kernel estimation. Finally, the overall end-to-end delay is obtained by wavelet reconstruction with these predicted components. Experimental results show that the prediction precision of the new algorithm is about 6-17 dB higher than that of the conventional auto regressive (AR) algorithm, about 2.5-8 dB higher than that of the differential auto regressive (DIAR) algorithm and 1-3 dB higher than that of our latest proposed wavelet transform based auto regressive (WTAR) algorithm.

Original languageEnglish
Title of host publication2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008
DOIs
Publication statusPublished - 2008
Event2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008 - Dalian, China
Duration: 12 Oct 200814 Oct 2008

Publication series

Name2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008

Conference

Conference2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008
Country/TerritoryChina
CityDalian
Period12/10/0814/10/08

Keywords

  • Adaptive playout algorithm
  • Kernel estimation
  • VoIP
  • Wavelet transform

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