Pages that link to "Item:Q1338578"
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The following pages link to Identificaction of nonlinear block-oriented systems by the recursive kernel estimate (Q1338578):
Displaying 11 items.
- Identifying odd/even-order binary kernel slices for a nonlinear system using inverse repeat m-sequences (Q308810) (← links)
- Bounded error identification of Hammerstein systems through sparse polynomial optimization (Q361063) (← links)
- Iterative identification of block-oriented nonlinear systems based on biconvex optimization (Q491293) (← links)
- On nonparametric estimation of nonlinear dynamic systems by the Fourier series estimate (Q671486) (← links)
- Parameter bounds evaluation of Wiener models with noninvertible polynomial nonlinearities (Q880356) (← links)
- Adaptive kernel canonical correlation analysis algorithms for nonparametric identification of Wiener and Hammerstein systems (Q966962) (← links)
- Cascade non-linear system identification by a non-parametric method (Q4282818) (← links)
- Identification of non-linear systems by recursive kernel regression estimates (Q4696411) (← links)
- Structural identification of quadratic block-oriented models based on estimated Volterra kernels (Q4733810) (← links)
- On identification of block orientated systems by non-parametric techniques (Q5287938) (← links)
- A simple scheme for semi-recursive identification of Hammerstein system nonlinearity by Haar wavelets (Q5396426) (← links)
