Practical nonlinear system analysis by Wiener kernel estimation in the frequency domain

DOI10.1007/BF00360650zbMath0342.65074OpenAlexW2083329731MaRDI QIDQ1232170

Andrew S. French

Publication date: 1976

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00360650

Mathematics Subject Classification ID

Numerical methods for integral equations (65R20) General biology and biomathematics (92B05)

Related Items (5)

Systems identification using pseudorandom noise applied to a sensorineural system ⋮ Structural classification of multi-input nonlinear systems ⋮ Determination of the analytical parametric relationship for output spectrum of Volterra systems based on its parametric characteristics ⋮ Unnamed Item ⋮ Theory of nonlinear systems

Cites Work

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• Identification of nonlinear systems using random impulse train inputs
• The Use of Walsh Functions in the Wiener Analysis of Nonlinear Systems
• The Volterra Representation and the Wiener Expansion: Validity and Pitfalls
• An Algorithm for the Machine Calculation of Complex Fourier Series
• Measurement of the Kernels of a Non-linear System of Finite Order†
• Measuring the Wiener kernels of a non-linear system using the fast Fourier transform algorithm

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