Pages that link to "Item:Q5293662"
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The following pages link to Sparsity and incoherence in compressive sampling (Q5293662):
Displaying 50 items.
- Empirical average-case relation between undersampling and sparsity in X-ray CT (Q256004) (← links)
- Sparse network identifiability via compressed sensing (Q273889) (← links)
- On data preconditioning for regularized loss minimization (Q285940) (← links)
- Unsupervised learning of invariant representations (Q290560) (← links)
- Properties of real and complex ETFs and their application to the design of low coherence frames (Q307812) (← links)
- An improved robust ADMM algorithm for quantum state tomography (Q332021) (← links)
- A weighted \(\ell_1\)-minimization approach for sparse polynomial chaos expansions (Q349012) (← links)
- The essential ability of sparse reconstruction of different compressive sensing strategies (Q362190) (← 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)
- Sparse microwave imaging: principles and applications (Q362310) (← links)
- Arithmetic modeling of random processes and \(r\)-algorithms (Q380647) (← links)
- Learning with coefficient-based regularization and \(\ell^1\)-penalty (Q380980) (← links)
- Nonconvex compressed sampling of natural images and applications to compressed MR imaging (Q408496) (← links)
- Sparse Legendre expansions via \(\ell_1\)-minimization (Q420755) (← links)
- FaIMS: a fast algorithm for the inverse medium problem with multiple frequencies and multiple sources for the scalar Helmholtz equation (Q441933) (← links)
- Sampling, denoising and compression of matrices by coherent matrix organization (Q448484) (← links)
- Compressed sensing with preconditioning for sparse recovery with subsampled matrices of Slepian prolate functions (Q467114) (← links)
- Weighted-average alternating minimization method for magnetic resonance image reconstruction based on compressive sensing (Q479909) (← links)
- Generalized sampling and infinite-dimensional compressed sensing (Q515987) (← links)
- A non-adapted sparse approximation of PDEs with stochastic inputs (Q543721) (← links)
- Randomization of data acquisition and \(\ell_{1}\)-optimization (recognition with compression) (Q544714) (← links)
- Concentration estimates for learning with \(\ell ^{1}\)-regularizer and data dependent hypothesis spaces (Q550498) (← links)
- Democracy in action: quantization, saturation, and compressive sensing (Q643647) (← links)
- User-friendly tail bounds for sums of random matrices (Q695625) (← links)
- On the linear independence of spikes and sines (Q734952) (← links)
- Matrix-free interior point method for compressed sensing problems (Q744215) (← links)
- Rigorous restricted isometry property of low-dimensional subspaces (Q778034) (← links)
- Local linear convergence for alternating and averaged nonconvex projections (Q839655) (← links)
- Local convergence of an algorithm for subspace identification from partial data (Q887156) (← links)
- RBF-network based sparse signal recovery algorithm for compressed sensing reconstruction (Q889379) (← links)
- On compressive sensing applied to radar (Q985460) (← links)
- Compressive sensing for multi-static scattering analysis (Q1017608) (← links)
- Time-frequency localization and sampling of multiband signals (Q1038744) (← links)
- Parameter selection for HOTV regularization (Q1686204) (← links)
- Random sampling of bandlimited signals on graphs (Q1690709) (← links)
- Sparsity and incoherence in orthogonal matching pursuit (Q1710949) (← links)
- Analysis sparse representation for nonnegative signals based on determinant measure by DC programming (Q1722682) (← links)
- Compressive sensing in signal processing: algorithms and transform domain formulations (Q1793545) (← links)
- Parallel magnetic resonance imaging acceleration with a hybrid sensing approach (Q1981211) (← links)
- Sparsity-promoting elastic net method with rotations for high-dimensional nonlinear inverse problem (Q1986778) (← links)
- Measurement matrix optimization via mutual coherence minimization for compressively sensed signals reconstruction (Q2004244) (← links)
- Sparse parallel MRI based on accelerated operator splitting schemes (Q2013007) (← links)
- MRI simulation-based evaluation of an efficient under-sampling approach (Q2038799) (← links)
- Image reconstruction based on improved block compressed sensing (Q2064972) (← links)
- Structured iterative hard thresholding with on- and off-grid applications (Q2074952) (← links)
- Localized Fourier analysis for graph signal processing (Q2074996) (← links)
- A sample efficient sparse FFT for arbitrary frequency candidate sets in high dimensions (Q2118948) (← links)
- On the randomised stability constant for inverse problems (Q2128524) (← links)
- On the Fourier transform of a quantitative trait: implications for compressive sensing (Q2137407) (← links)
