Frikel, Miloud

Jilali, Antari

Safi, Saïd

International audienceIn  this  paper  we  discuss  the  problem  of  nonlinearquadratic  systems  identification.  The  most  existing  methods,  inthis area, are based on second order or higher order moments. Inmost cases, these methods are more complicated. In this paper wepresent a technique based on a minimum of equations to identifythe  parameters  of  the  system.  The  proposed  algorithm  is  basedon  cumulants.  The  simulation  results  show  that  the  presentedalgorithm  gives  very  satisfactory  results,  even  in  the  case  of  asmall  number  of  samples  and  in  noisy  environment

NonLinear System Identification Using Cumulants

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