The following pages link to Compressed sensing (Q5900527):
Displaying 50 items.
- A new piecewise quadratic approximation approach for \(L_0\) norm minimization problem (Q1729942) (← links)
- Efficient projected gradient methods for cardinality constrained optimization (Q1729947) (← links)
- Moving horizon estimation for ARMAX processes with additive output noise (Q1730071) (← links)
- Signal recovery under mutual incoherence property and oracle inequalities (Q1731904) (← links)
- Recovery analysis for weighted mixed \(\ell_2 / \ell_p\) minimization with \(0 < p \leq 1\) (Q1736367) (← links)
- Greedy subspace pursuit for joint sparse recovery (Q1736381) (← links)
- A CS recovery algorithm for model and time delay identification of MISO-FIR systems (Q1736708) (← links)
- Bayesian compressed vector autoregressions (Q1740345) (← links)
- Learning semidefinite regularizers (Q1740575) (← links)
- Noise-tolerance matrix completion for location recommendation (Q1741358) (← links)
- Fast L1-L2 minimization via a proximal operator (Q1742664) (← links)
- Combinatorial rigidity of incidence systems and application to dictionary learning (Q1745767) (← links)
- Sparse signal recovery with prior information by iterative reweighted least squares algorithm (Q1746492) (← links)
- A strong converse bound for multiple hypothesis testing, with applications to high-dimensional estimation (Q1746556) (← links)
- Sparse recovery in probability via \(l_q\)-minimization with Weibull random matrices for \(0 < q\leq 1\) (Q1747365) (← links)
- A probabilistic learning algorithm for robust modeling using neural networks with random weights (Q1749195) (← links)
- DC formulations and algorithms for sparse optimization problems (Q1749449) (← links)
- Continuous relaxation for discrete DC programming (Q1749451) (← links)
- Minimization of transformed \(L_1\) penalty: theory, difference of convex function algorithm, and robust application in compressed sensing (Q1749455) (← links)
- Dictionary evaluation and optimization for sparse coding based speech processing (Q1749610) (← links)
- Robust sparse signal reconstructions against basis mismatch and their applications (Q1749812) (← links)
- Multiscale blind source separation (Q1750285) (← links)
- Solving structured nonsmooth convex optimization with complexity \(\mathcal {O}(\varepsilon ^{-1/2})\) (Q1752352) (← links)
- Iterative reweighted methods for \(\ell _1-\ell _p\) minimization (Q1753073) (← links)
- Coded aperture optimization for single pixel compressive computed tomography (Q1757354) (← links)
- Geometry of the Welch bounds (Q1758450) (← links)
- Adaptive compressive learning for prediction of protein-protein interactions from primary sequence (Q1783649) (← links)
- On the sparseness of 1-norm support vector machines (Q1784565) (← links)
- Recovery of seismic wavefields by an \(l_{q}\)-norm constrained regularization method (Q1785033) (← links)
- Robust group lasso: model and recoverability (Q1790464) (← links)
- Approximately normalized iterative hard thresholding for nonlinear compressive sensing (Q1792868) (← links)
- \(\ell_1\)- and \(\ell_2\)-norm joint regularization based sparse signal reconstruction scheme (Q1793017) (← links)
- Resilient state estimation for control systems using multiple observers and median operation (Q1793050) (← links)
- Combined similarity to reference image with joint sparsifying transform for longitudinal compressive sensing MRI (Q1793133) (← links)
- Sliding-MOMP based channel estimation scheme for ISDB-T systems (Q1793180) (← links)
- Sparsity preserving discriminant projections with applications to face recognition (Q1793275) (← links)
- On a gradient-based algorithm for sparse signal reconstruction in the signal/measurements domain (Q1793419) (← links)
- An efficient algorithm for overcomplete sparsifying transform learning with signal denoising (Q1793434) (← links)
- Compressive sensing in signal processing: algorithms and transform domain formulations (Q1793545) (← links)
- A novel 1D hybrid chaotic map-based image compression and encryption using compressed sensing and Fibonacci-Lucas transform (Q1793559) (← links)
- A novel approach to wideband spectrum compressive sensing based on DST for frequency availability in LEO mobile satellite systems (Q1793655) (← links)
- A novel detection scheme with multiple observations for sparse signal based on likelihood ratio test with sparse estimation (Q1793681) (← links)
- A sparse signal reconstruction algorithm in wireless sensor networks (Q1793797) (← links)
- Compressive sensing based sampling and reconstruction for wireless sensor array network (Q1793853) (← links)
- Norm-minimized scattering data from intensity spectra (Q1793886) (← links)
- A novel measurement matrix optimization approach for hyperspectral unmixing (Q1794237) (← links)
- Robust visual tracking via consistent low-rank sparse learning (Q1799927) (← links)
- Extrinsic methods for coding and dictionary learning on Grassmann manifolds (Q1799972) (← links)
- Cluster forests (Q1800126) (← links)
- The convex geometry of linear inverse problems (Q1928276) (← links)
