An affine projection-based algorithm for identification of nonlinear Hammerstein systems

DOI10.1016/j.sigpro.2010.01.004zbMath1197.94133OpenAlexW1995864781MaRDI QIDQ1957789

Tokunbo Ogunfunmi, Ifiok J. Umoh

Publication date: 27 September 2010

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

Full work available at URL: https://doi.org/10.1016/j.sigpro.2010.01.004

zbMATH Keywords

parametric methodssystem identificationnonlinear systemsHammerstein systemsadaptive signal processingWiener systemsVolterra system

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

Parameter estimation for nonlinear systems by using the data filtering and the multi-innovation identification theory ⋮ Multistage least squares based iterative estimation for feedback nonlinear systems with moving average noises using the hierarchical identification principle ⋮ Least squares based and gradient based iterative identification for Wiener nonlinear systems

Cites Work

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• Frequency domain identification of hammerstein models
• Pathwise Convergence of Recursive Identification Algorithms for Hammerstein Systems
• Adaptive IIR filtering of nonstationary signals.

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