Pages that link to "Item:Q2628454"
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The following pages link to Identification of Wiener-Hammerstein systems by a nonparametric separation of the best linear approximation (Q2628454):
Displaying 16 items.
- Decomposition-based recursive least squares algorithm for Wiener nonlinear feedback FIR-MA systems using the filtering theory (Q736331) (← links)
- A modified multi-innovation algorithm to turntable servo system identification (Q831580) (← links)
- Initial estimates for Wiener-Hammerstein models using phase-coupled multisines (Q900221) (← links)
- A unified approach for the parametric identification of SISO/MIMO Wiener and Hammerstein systems (Q1659444) (← links)
- Kernel-based identification of Wiener-Hammerstein system (Q1679115) (← links)
- Identification of block-oriented nonlinear systems starting from linear approximations: a survey (Q1679865) (← links)
- WH-EA: an evolutionary algorithm for Wiener-Hammerstein system identification (Q1784336) (← links)
- An improved method for Wiener-Hammerstein system identification based on the fractional approach (Q1797134) (← links)
- Initializing Wiener-Hammerstein models based on partitioning of the best linear approximation (Q1941257) (← links)
- Identification of Wiener-Hammerstein systems by \(\ell_1\)-constrained Volterra series (Q1996668) (← links)
- Identification of Wiener-Hammerstein models based on variational Bayesian approach in the presence of process noise (Q2041405) (← links)
- Data filtering-based multi-innovation forgetting gradient algorithms for input nonlinear FIR-MA systems with piecewise-linear characteristics (Q2068227) (← links)
- Parametric identification of parallel Wiener-Hammerstein systems (Q2342520) (← links)
- Convex aggregative modelling of infinite memory nonlinear systems (Q2954063) (← links)
- Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems (Q6083767) (← links)
- Deep subspace encoders for nonlinear system identification (Q6136161) (← links)
