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Decoupling static nonlinearities in a parallel Wiener-Hammerstein system: A first-order approach., , , and . I2MTC, page 987-992. IEEE, (2015)Weighted tensor decomposition for approximate decoupling of multivariate polynomials., , , and . CoRR, (2016)Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels., , , and . CoRR, (2016)Data driven discrete-time parsimonious identification of a nonlinear state-space model for a weakly nonlinear system with short data record., , , , and . CoRR, (2018)A fast recursive orthogonalization scheme for the Macaulay matrix., , and . J. Comput. Appl. Math., (2014)Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition., , , , and . LVA/ICA, volume 9237 of Lecture Notes in Computer Science, page 14-21. Springer, (2015)Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels., , , and . LVA/ICA, volume 10169 of Lecture Notes in Computer Science, page 16-25. (2017)Weighted/Structured Total Least Squares problems and polynomial system solving., , and . ESANN, (2012)Decoupling multivariate polynomials: Interconnections between tensorizations., , and . J. Comput. Appl. Math., (2020)Parameter Estimation of Multiple Poles by Subspace-Based Method., , , and . CoDIT, page 1948-1953. IEEE, (2023)