Identification of Volterra kernels using interpolation

J. G. Németh, I. Kollár, J. Schoukens

Research output: Contribution to conferencePaper

Abstract

The paper presents a new method for the identification of frequency-domain Volterra kernels. Based on the assumption that frequency-domain kernels are locally smooth, the kernel surface can be approximated by interpolation techniques, thus reducing the complexity of the model. Similarly to the unreduced (Volterra) model, this smaller model is also (i) linear in the unknowns, (ii) only locally sensitive to its parameters and (iii) free of structural assumptions about the system. The parameter estimation boils down to solving a linear system of equations in the least-squares (LS) sense.

Original languageEnglish
Pages810-815
Number of pages6
Publication statusPublished - Jan 1 2001
Event18th IEEE Instrumentation and Measurement of Informatics -Rediscovering Measurement in the Age of Informatics - Budapest, Hungary
Duration: May 21 2001May 23 2001

Other

Other18th IEEE Instrumentation and Measurement of Informatics -Rediscovering Measurement in the Age of Informatics
CountryHungary
CityBudapest
Period5/21/015/23/01

Keywords

  • B-spline
  • Interpolation
  • Nonlinear system
  • Random multisine
  • System identification
  • Volterra kernel
  • Volterra series

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Németh, J. G., Kollár, I., & Schoukens, J. (2001). Identification of Volterra kernels using interpolation. 810-815. Paper presented at 18th IEEE Instrumentation and Measurement of Informatics -Rediscovering Measurement in the Age of Informatics, Budapest, Hungary.