Title :
3th and 4th order cumulant techniques for supervising identification of non linear systems: Application to internet network
Author :
Antari, J. ; Zeroual, A. ; Chabaa, S.
Author_Institution :
Dept. of Phys., Cadi Ayyad Univ., Marrakesh, Morocco
Abstract :
In this paper we develop an algorithm based on the 3th and 4th order cumulant techniques for supervising identification of non linear systems. This algorithm is compared with the recursive least square (RLS) algorithm for different signal to noise ratios (SNR) and different length of output sequences. The simulation results prove the performance of the developed algorithm. In the last part, we apply it to search a pattern able to model the data of packet transmission in networks.
Keywords :
Internet; higher order statistics; least squares approximations; nonlinear systems; parameter estimation; 3rd-order cumulant technique; 4th-order cumulant technique; Internet network; RLS algorithm; SNR; network packet transmission model; nonlinear system parameter identification; pattern search; recursive least square algorithm; signal-to-noise-ratio; Artificial intelligence; Equations; Gaussian noise; IP networks; Instruments; Linear systems; Physics; Resonance light scattering; Signal processing algorithms; Signal to noise ratio; Cumulant techniques; Modelling; Packet transmission; Supervised identification; non Linear systems;
Conference_Titel :
Multimedia Computing and Systems, 2009. ICMCS '09. International Conference on
Conference_Location :
Ouarzazate
Print_ISBN :
978-1-4244-3756-6
Electronic_ISBN :
978-1-4244-3757-3
DOI :
10.1109/MMCS.2009.5256639
