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Stochastic analysis of adaptive gradient identification of Wiener-Hammerstein systems for Gaussian inputs

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Publication:2734300
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DOI10.1109/78.823983zbMath1023.93068OpenAlexW2109146660MaRDI QIDQ2734300

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Publication date: 5 February 2003

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/78.823983


zbMATH Keywords

identificationsaturationadaptive identificationadaptive gradient search algorithmsfinite-memory Wiener-Hammerstein system


Mathematics Subject Classification ID

System identification (93B30) Nonlinear systems in control theory (93C10) Identification in stochastic control theory (93E12)


Related Items (4)

Kernel-based identification of Wiener-Hammerstein system ⋮ Modeling the dynamic sandwich system with hysteresis using NARMAX model ⋮ Receiver-side nonlinearities mitigation using an extended iterative decision-based technique ⋮ An efficient acoustic echo cancellation design for systems with long room impulses and nonlinear loudspeakers




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