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Sparse Reconstruction via The Reed-Muller Sieve

Computer Science – Information Theory
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Sparse Recovery by Non-convex Optimization -- Instance Optimality

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Sparse Recovery from Combined Fusion Frame Measurements

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Sparse Recovery from Nonlinear Measurements with Applications in Bad Data Detection for Power Networks

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Sparse Recovery of Positive Signals with Minimal Expansion

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Sparse Recovery using Smoothed $\ell^0$ (SL0): Convergence Analysis

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Sparse Recovery with Graph Constraints: Fundamental Limits and Measurement Construction

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Sparse Recovery with Orthogonal Matching Pursuit under RIP

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Sparse Representation of White Gaussian Noise with Application to L0-Norm Decoding in Noisy Compressed Sensing

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Sparse Signal Reconstruction via Iterative Support Detection

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Sparse Support Recovery with Phase-Only Measurements

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Sparsity based sub-wavelength imaging with partially incoherent light via quadratic compressed sensing

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Sparsity Constrained Nonlinear Optimization: Optimality Conditions and Algorithms

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Sparsity Enhanced Decision Feedback Equalization

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Sparsity Pattern Recovery in Bernoulli-Gaussian Signal Model

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Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling

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Spatial Analysis of Opportunistic Downlink Relaying in a Two-Hop Cellular System

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Spatial and Temporal Correlation of the Interference in ALOHA Ad Hoc Networks

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Spatial Degrees of Freedom of the Multicell MIMO Multiple Access Channel

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Spatial Intercell Interference Cancellation with CSI Training and Feedback

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