Pages that link to "Item:Q3549018"

The following pages link to Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit (Q3549018):

Displaying 50 items.

• Underdetermined separation of speech mixture based on sparse Bayesian learning (Q1793106) (← links)
• A novel STAP algorithm for airborne MIMO radar based on temporally correlated multiple sparse Bayesian learning (Q1793110) (← links)
• Sliding-MOMP based channel estimation scheme for ISDB-T systems (Q1793180) (← links)
• An efficient algorithm for learning dictionary under coherence constraint (Q1793336) (← links)
• Peeling decoding of LDPC codes with applications in compressed sensing (Q1793437) (← 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)
• Incoherent dictionary learning method based on unit norm tight frame and manifold optimization for sparse representation (Q1793796) (← links)
• Nonuniform support recovery from noisy random measurements by orthogonal matching pursuit (Q1935492) (← links)
• Sparse signal recovery via ECME thresholding pursuits (Q1954822) (← links)
• Block orthogonal greedy algorithm for stable recovery of block-sparse signal representations (Q1957932) (← links)
• Analysis of the ratio of \(\ell_1\) and \(\ell_2\) norms in compressed sensing (Q1979938) (← links)
• Sparse polynomial chaos expansions via compressed sensing and D-optimal design (Q1985532) (← links)
• An efficient adaptive forward-backward selection method for sparse polynomial chaos expansion (Q1988232) (← links)
• Fast and provable algorithms for spectrally sparse signal reconstruction via low-rank Hankel matrix completion (Q1990969) (← links)
• Compressing sensing based source localization for controlled acoustic signals using distributed microphone arrays (Q1992459) (← links)
• A performance guarantee for orthogonal matching pursuit using mutual coherence (Q2003290) (← links)
• Sparse approximate reconstruction decomposed by two optimization problems (Q2003320) (← links)
• Maximum correntropy adaptation approach for robust compressive sensing reconstruction (Q2004743) (← links)
• An algebraic perspective on integer sparse recovery (Q2007643) (← links)
• Deterministic constructions of compressed sensing matrices based on optimal codebooks and codes (Q2008183) (← links)
• Signal recovery by discrete approximation and a Prony-like method (Q2012599) (← links)
• Traditional and recent approaches in background modeling for foreground detection: an overview (Q2015048) (← links)
• A novel T-S fuzzy systems identification with block structured sparse representation (Q2017275) (← links)
• Randomized linear algebra for model reduction. II: Minimal residual methods and dictionary-based approximation (Q2027783) (← links)
• A unified primal dual active set algorithm for nonconvex sparse recovery (Q2038299) (← 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)
• Partial gradient optimal thresholding algorithms for a class of sparse optimization problems (Q2079693) (← links)
• Weighted thresholding homotopy method for sparsity constrained optimization (Q2082209) (← links)
• A Lagrange-Newton algorithm for sparse nonlinear programming (Q2089792) (← links)
• A convex relaxation framework consisting of a primal-dual alternative algorithm for solving \(\ell_0\) sparsity-induced optimization problems with application to signal recovery based image restoration (Q2095175) (← links)
• Sparse recovery of sound fields using measurements from moving microphones (Q2106497) (← links)
• A compressed sampling receiver based on modulated wideband converter and a parameter estimation algorithm for fractional bandlimited LFM signals (Q2118689) (← links)
• Research on IQ imbalance error of orthogonal alternating sampling (Q2122275) (← links)
• Unconstrained \(\ell_1\)-\(\ell_2\) minimization for sparse recovery via mutual coherence (Q2124198) (← links)
• Model recovery for multi-input signal-output nonlinear systems based on the compressed sensing recovery theory (Q2125313) (← links)
• State estimation with limited sensors -- a deep learning based approach (Q2135833) (← links)
• Sparse Bayesian learning for network structure reconstruction based on evolutionary game data (Q2137626) (← links)
• Post-model-selection inference in linear regression models: an integrated review (Q2137823) (← links)
• Distribution agnostic Bayesian compressive sensing with incremental support estimation (Q2146510) (← links)
• Sparse signal recovery via generalized Gaussian function (Q2154451) (← links)
• Gradient projection Newton pursuit for sparsity constrained optimization (Q2168680) (← links)
• Signal recovery by stochastic optimization (Q2173047) (← links)
• Adaptive multi-penalty regularization based on a generalized Lasso path (Q2175012) (← links)
• Smoothing inertial projection neural network for minimization \(L_{p-q}\) in sparse signal reconstruction (Q2179318) (← links)
• Sparse signal reconstruction via the approximations of \(\ell_0\) quasinorm (Q2190319) (← links)
• Iterative hard thresholding for compressed data separation (Q2190470) (← links)
• Deterministic construction of compressed sensing matrices from constant dimension codes (Q2197399) (← links)