Pages that link to "Item:Q5409194"

The following pages link to Methods for numerical differentiation of noisy data (Q5409194):

Displaying 35 items.

• Numerical differentiation of noisy, nonsmooth data (Q420148) (← links)
• Automatic numerical differentiation by discrete mollification (Q580880) (← links)
• Error analysis of Jacobi derivative estimators for noisy signals (Q639349) (← links)
• Multiquadric trigonometric spline quasi-interpolation for numerical differentiation of noisy data: a stochastic perspective (Q679713) (← links)
• Do you trust derivatives or differences? (Q728560) (← links)
• Finite difference methods for the numerical differentiation of non-exact data (Q792733) (← links)
• A perturbation method for numerical differentiation (Q924427) (← links)
• Numerical differentiation with noisy signal (Q1039702) (← links)
• A class of methods for smoothing and numerical derivation of functions (Q1066608) (← links)
• Numerical differentiation of 2D functions from noisy data. (Q1416390) (← links)
• Almost optimal differentiation using noisy data (Q1925089) (← links)
• Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms (Q2021063) (← links)
• Sparse identification of nonlinear dynamical systems via reweighted \(\ell_1\)-regularized least squares (Q2021994) (← links)
• Data smoothing with applications to edge detection (Q2084169) (← links)
• Predicting solar wind streams from the inner-heliosphere to Earth via shifted operator inference (Q2106904) (← links)
• Exploring time-delay-based numerical differentiation using principal component analysis (Q2139951) (← links)
• Variational system identification of the partial differential equations governing the physics of pattern-formation: inference under varying fidelity and noise (Q2173625) (← links)
• Numerical aspects for approximating governing equations using data (Q2214649) (← links)
• Closed-form higher-order numerical differentiators for differentiating noisy signals (Q2279431) (← links)
• A new method for numerical differentiation based on direct and inverse problems of partial differential equations (Q2344425) (← links)
• Sensitivity of the virtual fields method to noisy data (Q2432196) (← links)
• Legendre polynomials as a recommended basis for numerical differentiation in the presence of stochastic white noise (Q2848393) (← links)
• A GL(n,R) Differential Algebraic Equation Method forNumerical Differentiation of Noisy Signal (Q2964803) (← links)
• Smoothing via elliptic operators with application to edge detection (Q3121984) (← links)
• Multivariate numerical derivative by solving an inverse heat source problem (Q3122028) (← links)
• A new regularization approach for numerical differentiation (Q4991548) (← links)
• (Q4998909) (← links)
• Structure-Preserving Method for Reconstructing Unknown Hamiltonian Systems From Trajectory Data (Q5147965) (← links)
• An inverse problem for a semi-linear wave equation: a numerical study (Q6066510) (← links)
• Autonomous navigation of a non‐holonomic robot for 3D tracking unsteady environmental boundaries (Q6089765) (← links)
• A Review of Data‐Driven Discovery for Dynamic Systems (Q6131430) (← links)
• The price-leverage covariation as a measure of the response of the leverage effect to price and volatility changes (Q6580717) (← links)
• Confidence Distributions for the Autoregressive Parameter (Q6585617) (← links)
• Optimal reconstruction of vector fields from data for prediction and uncertainty quantification (Q6588228) (← links)
• Real-time numerical differentiation of sampled data using adaptive input and state estimation (Q6666670) (← links)