Pages that link to "Item:Q2848393"
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The following pages link to Legendre polynomials as a recommended basis for numerical differentiation in the presence of stochastic white noise (Q2848393):
Displaying 13 items.
- Filtered Legendre expansion method for numerical differentiation at the boundary point with application to blood glucose predictions (Q279089) (← links)
- On the Legendre-based filters of Persson and Strang (Q426963) (← links)
- Computing derivatives of noisy signals using orthogonal functions expansions (Q618391) (← links)
- Optimization of the methods of numerical differentiation for bivariate functions (Q2084244) (← links)
- Filtered spectral differentiation method for numerical differentiation of periodic functions with application to heat flux estimation (Q2326357) (← links)
- The degree of ill-posedness of composite linear ill-posed problems with focus on the impact of the non-compact Hausdorff moment operator (Q2672203) (← links)
- Legendre polynomials-based numerical differentiation: A convergence analysis in a weighted \(L^2\) space (Q2824033) (← links)
- On application of asymptotic generalized discrepancy principle to the analysis of epidemiology models (Q4982036) (← links)
- Tikhonov regularization for polynomial approximation problems in Gauss quadrature points (Q5150823) (← links)
- Translation invariant diagonal frame decomposition of inverse problems and their regularization (Q6101041) (← links)
- An optimal method for recovering the mixed derivative \(f^{(2,2)}\) of bivariate functions (Q6146164) (← links)
- The minimal radius of Galerkin information for the problem of numerical differentiation (Q6154548) (← links)
- An optimal method for high-order mixed derivatives of bivariate functions (Q6651179) (← links)
