Identification of nonlinear systems using random impulse train inputs

DOI10.1007/BF02281972zbMath0316.93035MaRDI QIDQ1221729

Howard I. Krausz

Publication date: 1975

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

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) System identification (93B30) Estimation and detection in stochastic control theory (93E10) Signal detection and filtering (aspects of stochastic processes) (60G35) Approximation by operators (in particular, by integral operators) (41A35) General biology and biomathematics (92B05) Nonlinear operators and their properties (47H99)

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Cites Work

• The Use of Walsh Functions in the Wiener Analysis of Nonlinear Systems
• The identification of polynomial systems by means of higher order spectra
• Stationary Stochastic Processes. (MN-8)
• Orthogonal functionals of the Poisson process
• Measuring the Wiener kernels of a non-linear system using the fast Fourier transform algorithm
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