The following pages link to Compressed sensing (Q5900527):
Displaying 50 items.
- Sharp MSE bounds for proximal denoising (Q330102) (← links)
- An improved robust ADMM algorithm for quantum state tomography (Q332021) (← links)
- Point source super-resolution via non-convex \(L_1\) based methods (Q333212) (← links)
- Revisiting compressed sensing: exploiting the efficiency of simplex and sparsification methods (Q340007) (← links)
- 1-bit compressive sensing: reformulation and RRSP-based sign recovery theory (Q341409) (← links)
- Ensemble extreme learning machine and sparse representation classification (Q344642) (← links)
- Low rank matrix recovery from rank one measurements (Q347516) (← links)
- Robust sparse phase retrieval made easy (Q347523) (← links)
- A matching pursuit approach to solenoidal filtering of three-dimensional velocity measurements (Q348912) (← links)
- A weighted \(\ell_1\)-minimization approach for sparse polynomial chaos expansions (Q349012) (← links)
- Compressive sampling of polynomial chaos expansions: convergence analysis and sampling strategies (Q349724) (← links)
- Block sparse recovery via mixed \(l_2/l_1\) minimization (Q353620) (← links)
- The essential ability of sparse reconstruction of different compressive sensing strategies (Q362190) (← links)
- Waveform design and high-resolution imaging of cognitive radar based on compressive sensing (Q362194) (← links)
- Compressive sensing SAR range compression with chirp scaling principle (Q362248) (← links)
- Influence factors of sparse microwave imaging radar system performance: approaches to waveform design and platform motion analysis (Q362253) (← links)
- Reweighted minimization model for MR image reconstruction with split Bregman method (Q362295) (← links)
- Sparse microwave imaging: principles and applications (Q362310) (← links)
- Sparse SAR imaging based on \(L_{1/2}\) regularization (Q362313) (← links)
- Compressed sensing SAR imaging based on sparse representation in fractional Fourier domain (Q362320) (← links)
- Efficient DPCA SAR imaging with fast iterative spectrum reconstruction method (Q362321) (← links)
- A novel spaceborne SAR wide-swath imaging approach based on Poisson disk-like nonuniform sampling and compressive sensing (Q362328) (← links)
- A novel cognitive ISAR imaging method with random stepped frequency chirp signal (Q362338) (← links)
- The restricted isometry property for time-frequency structured random matrices (Q365713) (← links)
- The bounds of restricted isometry constants for low rank matrices recovery (Q365859) (← links)
- \(s\)-goodness for low-rank matrix recovery (Q369686) (← links)
- The geometry of least squares in the 21st century (Q373539) (← links)
- Sparsity and non-Euclidean embeddings (Q375782) (← links)
- Fast alternating linearization methods for minimizing the sum of two convex functions (Q378095) (← links)
- Sparse solutions to random standard quadratic optimization problems (Q378104) (← links)
- Simple bounds for recovering low-complexity models (Q378116) (← links)
- Arithmetic modeling of random processes and \(r\)-algorithms (Q380647) (← links)
- On exact recovery of sparse vectors from linear measurements (Q382361) (← links)
- Improved compressed sensing-based algorithm for sparse-view CT image reconstruction (Q382544) (← links)
- Theory of compressive sensing via \(\ell_1\)-minimization: a non-RIP analysis and extensions (Q384215) (← links)
- Nearly optimal minimax estimator for high-dimensional sparse linear regression (Q385791) (← links)
- Bounds on the quality of reconstructed images in binary tomography (Q387857) (← links)
- Sparse nonnegative matrix underapproximation and its application to hyperspectral image analysis (Q389667) (← links)
- Reconstruction of a low-rank matrix in the presence of Gaussian noise (Q391623) (← links)
- The \(L_1\) penalized LAD estimator for high dimensional linear regression (Q391806) (← links)
- Non-negative least squares for high-dimensional linear models: consistency and sparse recovery without regularization (Q391843) (← links)
- A dynamically bi-orthogonal method for time-dependent stochastic partial differential equations. II: Adaptivity and generalizations (Q401601) (← links)
- Remote sensing via \(\ell_1\)-minimization (Q404256) (← links)
- Analysis of discrete \(L^2\) projection on polynomial spaces with random evaluations (Q404295) (← links)
- Sharp recovery bounds for convex demixing, with applications (Q404302) (← links)
- Efficient prediction algorithms for binary decomposition techniques (Q408680) (← links)
- Model-based multiple rigid object detection and registration in unstructured range data (Q408868) (← links)
- Restricted isometries for partial random circulant matrices (Q412402) (← links)
- Gelfand and Kolmogorov numbers of Sobolev embeddings of weighted function spaces (Q413472) (← links)
- Stable reconstructions in Hilbert spaces and the resolution of the Gibbs phenomenon (Q413646) (← links)