원문정보
초록
영어
In this work, we use the formulas of statistic techniques for developing an algorithm based on third order moments and autocorrelation function. This algorithm permits to identify non linear system coefficients for recovering the real information from input-output systems. Simulation examples and comparison with other method in the literature are provided to verify the performance of the developed algorithm. The obtained results demonstrate the efficiency and the accuracy of the developed algorithm for non linear system identification under various values of signal to noise ratio (SNR) and different sample sizes N. To corroborate the theoretical results for a real process, we applied the developed algorithm to search a model able to represent the internet traffic data.
목차
1. Introduction
2. Higher Order Statistics and Non Linear Model
2.1 Higher Order Statistics
2.2 Non Linear Model
3. Developed Algorithm and Simulation
3.1. Developed Algorithm and Proof
3.2 Simulation Results
4. Data Analysis
5. Identification Model
6. Diagnostic Checking
7. Conclusion
References