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PARAFAC-based unified tensor modeling for wireless communication systems with application to blind multiuser equalization.

, , and . Signal Process., 87 (2): 337-351 (2007)

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Minimum Variance Control of Discrete-Time Linear Stochastic System, Using Instantaneous Output Feedback., and . Optimization Techniques, volume 41 of Lecture Notes in Computer Science, page 636-655. Springer, (1975)Wiener-Hammerstein systems modeling using diagonal Volterra kernels coefficients., and . IEEE Signal Process. Lett., 13 (6): 381-384 (2006)Identification of multivariable ARMA models by use of fast algorithms.. ICASSP, page 1756-1759. IEEE, (1982)Optical Coupler Network Modeling and Parameter Estimation Based on a Generalized Tucker Train Decomposition., , , , and . IEEE Access, (2022)Constrained robust predictive controller for uncertain processes modeled by orthonormal series functions., , , and . Autom., 36 (4): 563-571 (2000)Identification de modèles de Volterra basée sur la décomposition PARAFAC de leurs noyaux et le filtre de Kalman étendu., and . Traitement du Signal, 27 (1): 27-51 (2010)Tensor-Based Blind Channel Identification., , and . ICC, page 2728-2732. IEEE, (2007)Tensor-Based Approaches for Nonlinear and Multilinear Systems Modeling and Identification., and . Algorithms, 16 (9): 443 (2023)Tensor modelling of MIMO communication systems with performance analysis and Kronecker receivers., , and . Signal Process., (2018)Fuzzy trace identification algorithms for non-stationary systems., , and . J. Intell. Fuzzy Syst., 6 (4): 403-417 (1998)