Genetic algorithm based identification of nonlinear systems by sparse Volterra filters

DOI10.1109/78.806093zbMath1009.94539OpenAlexW2153680907MaRDI QIDQ2732934

Leehter Yao

Publication date: 2 December 2001

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

Full work available at URL: https://doi.org/10.1109/78.806093

zbMATH Keywords

system identificationcombinatorial optimizationgenetic algorithmchannel equalizationVolterra filterecho cancellationdetection and estimationleast square error

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

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Practical realization of discrete-time Volterra series for high-order nonlinearities

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