%0 Electronic Article
%A M.J. Reed
%A M.O.J. Hawksford
%K Wiener general model
%K discrete Volterra series
%K identification
%K delayed forms
%K modified binary maximum sequence
%K time reversal
%K orthonormal basis
%K sparse matrix solution
%K maximum length sequences
%K Volterra kernels
%K discrete nonlinear system
%K Wiener model coefficients
%K multilevel test sequence
%X An efficient method is described for the determination of the Volterra kernels of a discrete nonlinear system. It makes use of the Wiener general model for a nonlinear system to achieve a change of basis. The orthonormal basis required by the model is constructed from a modified binary maximum sequence (MLS). A multilevel test sequence is generated by time reversing the MLS used to form the model and suitably summing delayed forms of the sequence. This allows a sparse matrix solution of the Wiener model coefficients to be performed. The Volterra kernels are then obtained from the Wiener model by a change of basis.
%@ 1350-2409
%T Identification of discrete Volterra series using maximum length sequences
%B IEE Proceedings - Circuits, Devices and Systems
%D October 1996
%V 143
%N 5
%P 241-248
%I
%U https://digital-library.theiet.org/;jsessionid=3fk56bsksawcs.x-iet-live-01content/journals/10.1049/ip-cds_19960726
%G EN