Efficient Nonlinear Wiener Model Identification Using a Complex-Valued Simplicial Canonical Piecewise Linear Filter

DOI10.1109/TSP.2006.890893zbMath1390.93782OpenAlexW2131108167MaRDI QIDQ4564506

Stefan Werner, J. L. Figueroa, Timo I. Laakso, Juan E. Cousseau

Publication date: 12 June 2018

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

Full work available at URL: https://doi.org/10.1109/tsp.2006.890893

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Identification in stochastic control theory (93E12) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

Estimation of noisy data: the case of partially missing information ⋮ Adaptive kernel canonical correlation analysis algorithms for nonparametric identification of Wiener and Hammerstein systems ⋮ Operator Approximation for Processing of Large Random Data Sets

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