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| Application of Kalman Filter and Wavelet in Traffic Prediction |
| Li Jie; Hou Xiu-hong; Han Zhi-jie |
| College of Computer &Information Engineering, Henan University, Kaifeng 475001, China |
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Abstract Traffic prediction is the core of network quality of service problems, such as traffic engineering and congestion control, etc. According to the characters of traffic, a novel network traffic prediction algorithm in which Kalman filter and wavelet are mixed is presented and proved abstractly. The simulation results show that the proposed algorithm can guarantee higher precision and better real-time processing compared with traditional algorithm.
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Received: 16 August 2005
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2007, Vol. 29 
