Pages that link to "Item:Q4908480"
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The following pages link to Nonlinear system modeling and identification using Volterra‐PARAFAC models (Q4908480):
Displaying 15 items.
- Nonlinear parametric models from Volterra kernels measurements (Q969823) (← links)
- Volterra-type models for nonlinear systems identification (Q1630175) (← links)
- Tensor network alternating linear scheme for MIMO Volterra system identification (Q1680890) (← links)
- Nonlinear low-complexity orthogonal models of systems (Q1910615) (← links)
- Nonlinear blind identification with three-dimensional tensor analysis (Q1954607) (← links)
- Parameter estimation for nonlinear Volterra systems by using the multi-innovation identification theory and tensor decomposition (Q2071236) (← links)
- Identification of Wiener channels using a tensor approach (Q2312512) (← links)
- System identification based on tensor decompositions: a trilinear approach (Q2337960) (← links)
- Perception-based \(\ell _p\)-norm minimization approach for nonlinear system identification in GGD noise (Q2405551) (← links)
- Nonlinear predictive controller based on S-PARAFAC Volterra models applied to a communicating two-tank system (Q2797622) (← links)
- Identification of Parameters of Nonlinear Dynamical Systems Simulated by Volterra Polynomials (Q4558301) (← links)
- Phase-based order separation for Volterra series identification (Q5018823) (← links)
- Volterra series identification and its applications in structural identification of nonlinear block-oriented systems (Q5026785) (← links)
- Alternating Linear Scheme in a Bayesian Framework for Low-Rank Tensor Approximation (Q5075697) (← links)
- Relaxation of the rank-1 tensor approximation using different norms (Q6611979) (← links)
