| Differential AR algorithm for packet delay prediction |
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| 引用本文： | JIAO Liangbao,ZHANG De,BI Houjie. Differential AR algorithm for packet delay prediction[J]. 自然科学进展(英文版), 2006, 16(4): 437-440. DOI: 10.1080/10020070612330016 |
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| 作者姓名： | JIAO Liangbao ZHANG De BI Houjie |
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| 作者单位： | 1. Institute of Acoustics, State Key Laboratory of Modern Acoustics, Nanjing University, Nanjing 210093,China; 2. Institute of Communication Technique, Nanjing University, Nanjing 210093,China |
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| 摘 要： | Different delay prediction algorithms have been applied in multimedia communication, among which linear prediction is attractive because of its low complexity. AR (auto regressive) algorithm is a traditional one with low computation cost, while NLMS (normalize least mean square) algorithm is more precise. In this paper, referring to ARIMA (auto regression integrated with moving averages) model, a differential AR algorithm (DIAR) is proposed based on the analyses of both AR and NLMS algorithms. The prediction precision of the new algorithm is about 5?10 db higher than that of the AR algorithm without increasing the computation complexity. Compared with NLMS algorithm, its precision slightly improves by 0.1 db on average, but the algorithm complexity reduces more than 90%. Our simulation and tests also demonstrate that this method improves the performance of the average end-to-end delay and packet loss ratio significantly.
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| 关 键 词： | AR algorithm NLMS algorithm differential AR algorithm ARIMA model |
Differential AR algorithm for packet delay prediction |
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| JIAO Liangbao,ZHANG De,BI Houjie. Differential AR algorithm for packet delay prediction[J]. Progress in Natural Science, 2006, 16(4): 437-440. DOI: 10.1080/10020070612330016 |
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| Authors: | JIAO Liangbao ZHANG De BI Houjie |
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| Affiliation: | 1. Institute of Acoustics, State Key Laboratory of Modem Acoustics, Nanjing University, Nanjing 210093, China;Institute of Communication Technique, Nanjing University, Nanjing 210093, China
2. Institute of Communication Technique, Nanjing University, Nanjing 210093, China |
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| Abstract: | Different delay prediction algorithms have been applied in multimedia communication, among which linear prediction is attractive because of its low complexity. AR (auto regressive) algorithm is a traditional one with low computation cost, while NLMS (normalize least mean square) algorithm is more precise. In this paper, referring to ARIMA (auto regression integrated with moving averages) model, a differential AR algorithm (DIAR) is proposed based on the analyses of both AR and NLMS algorithms. The prediction precision of the new algorithm is about 5?10 db higher than that of the AR algorithm without increasing the computation complexity. Compared with NLMS algorithm, its precision slightly improves by 0.1 db on average, but the algorithm complexity reduces more than 90%. Our simulation and tests also demonstrate that this method improves the performance of the average end-to-end delay and packet loss ratio significantly. |
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| Keywords: | AR algorithm NLMS algorithm differential AR algorithm ARIMA model |
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