Sentence examples for reconstruction approximation from inspiring English sources

The split feasibility problem has applications in signal processing, image reconstruction, approximation theory, control theory, biomedical engineering, communications, and geophysics.

They described this LS_NUFFT method as shift variant and reported that it yielded smaller reconstruction approximation errors than the conventional shift-invariant KB approach.

Since then, the split feasibility problem has received much attention due to its applications in signal processing, image reconstruction, approximation theory, control theory, biomedical engineering, communications, and geophysics.

Since then, the split feasibility problem (SFP) has received much attention due to its applications in signal processing, image reconstruction, approximation theory, control theory, biomedical engineering, communications, and geophysics.

Since then, the convex feasibility problem and the split feasibility problem (SFP) has received much attention due to its applications in signal processing, image reconstruction, approximation theory, control theory, biomedical engineering, communications, and geophysics.

These theoretical results lay down the foundation for a broad class of reconstruction and approximation algorithms in geometric modeling and processing.

The proposed method does not require any structure of extrinsic cells for the construction of shape functions, the treatment of incompressibility, the integration of variational formulation and the reconstruction of approximation.

In our case, the reconstruction calculates an approximation to (Pw^{ast}_{r}).

Third, given the transfer function and the operational response, Sparse reconstruction by separable approximation (SpaRSA) is developed to solve the sparse regularization problem of force identification.

Moreover, Theorem 2.1 then leads us to conclude that using the Fourier coefficients for the parameter selection, followed by the operator (sigma _n) is, up to a constant factor, an optimal reconstruction algorithm for approximation of functions in (K).

We show that in each mixed cell the piecewise linear interface reconstruction and the approximation of the derivatives and curvature based on three consecutive height function values are second-order accurate.