DocumentCode
3441296
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
fYear
2009
fDate
2-4 April 2009
Firstpage
522
Lastpage
525
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/MMCS.2009.5256639
Filename
5256639
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