A practical procedure for identifying time-varying nonlinear systems using basis sequence approximations

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A practical procedure for identifying time-varying nonlinear systems using basis sequence approximations

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dc.contributor.author Ralston, J.C.
dc.contributor.author Boashash, B
dc.contributor.author Zoubir, A.M.
dc.date.accessioned 2012-06-18T16:47:37Z
dc.date.available 2012-06-18T16:47:37Z
dc.date.issued 1996
dc.identifier.citation J. C. Ralston, B. Boashash, and A. M. Zoubir, "A practical procedure for identifying time-varying nonlinear systems using basis sequence approximations," in Proc. 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP-96, 1996, vol. 5, pp. 2964-2967 en_US
dc.identifier.uri http://dx.doi.org/10.1109/icassp.1996.550176
dc.identifier.uri http://hdl.handle.net/10576/10857
dc.description.abstract We approximate a class of time-varying nonlinear models, called the time-varying Hammerstein series, using basis sequences in order to reduce the number of coefficients required in system modelling. The problem is motivated by the practical need to parsimoniously characterise time-varying nonlinear systems. A significant advantage of the approach is that only a single input-output record is required to obtain least-squares estimates of the model parameters. The judicious selection of basis sequence is also discussed. The method represents a simple and practical time-varying nonlinear system identification procedure. Examples are presented to demonstrate the usefulness of the technique. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.title A practical procedure for identifying time-varying nonlinear systems using basis sequence approximations en_US
dc.type Article en_US

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