Sparsity-Based MIMO Radars (Q5020143): Difference between revisions

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+Sensitivity to Basis Mismatch in Compressed Sensing
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+The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
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+Iterative thresholding for sparse approximations
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+A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
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+L<sub>2</sub>-Regularized Iterative Weighted Algorithm for Inverse Scattering
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+Regression Shrinkage and Selection via The Lasso: A Retrospective
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+Perturbed Orthogonal Matching Pursuit
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+Semidefinite Programming for Computable Performance Bounds on Block-Sparsity Recovery
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+Joint Sparse Recovery Method for Compressed Sensing With Structured Dictionary Mismatches
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+Analysis of sparse MIMO radar
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+On Probing Signal Design For MIMO Radar
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+Bayesian Compressive Sensing
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+Adaptive Strategies for Target Detection and Localization in Noisy Environments
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+Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation
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+Robust Recovery of Signals From a Structured Union of Subspaces
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+Block-Sparse Signals: Uncertainty Relations and Efficient Recovery
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+Target Estimation Using Sparse Modeling for Distributed MIMO Radar
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+Frequency-Hopping Code Design for MIMO Radar Estimation Using Sparse Modeling
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+Matrix Completion in Colocated MIMO Radar: Recoverability, Bounds &amp; Theoretical Guarantees
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+A sparse signal reconstruction perspective for source localization with sensor arrays
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+CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
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+Robustly Stable Signal Recovery in Compressed Sensing With Structured Matrix Perturbation
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+Measurement Matrix Design for Compressive Sensing–Based MIMO Radar
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+Model Selection and Estimation in Regression with Grouped Variables
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+Sparse Signal Processing
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+Spectral compressive sensing
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+Atomic decomposition by basis pursuit
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+Analysis of Orthogonal Matching Pursuit Using the Restricted Isometry Property
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+Recovery of Sparse Translation-Invariant Signals With Continuous Basis Pursuit
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