Nonlinear system identification using autoregressive quadratic models.

DOI10.1016/S0165-1684(00)00213-9zbMath1079.93530OpenAlexW2148406704MaRDI QIDQ5940844

Jean-Marc Le Caillec, René Garello

Publication date: 20 August 2001

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-1684(00)00213-9

zbMATH Keywords

Higher-order statisticsNonlinear autoregressive modelNonlinear blind source separationNonlinear system identification

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) System identification (93B30) Identification in stochastic control theory (93E12)

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Spectral inversion of second order Volterra models based on the blind identification of Wiener models ⋮ Series arc fault detection algorithm based on autoregressive bispectrum analysis

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