Identifiability in Blind Deconvolution With Subspace or Sparsity Constraints von Yanjun Li, Kiryung Lee, Bresler, Yoram

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Blind Recovery of Sparse Signals From Subsampled Convolution von Kiryung Lee, Yanjun Li, Junge, Marius, Bresler, Yoram

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Identifiability in Bilinear Inverse Problems With Applications to Subspace or Sparsity-Constrained Blind Gain and Phase Calibration von Yanjun Li, Kiryung Lee, Bresler, Yoram

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Identifiability and Stability in Blind Deconvolution Under Minimal Assumptions von Yanjun Li, Kiryung Lee, Bresler, Yoram

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Subspace Methods for Joint Sparse Recovery von Kiryung Lee, Bresler, Y., Junge, M.

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ADMiRA: Atomic Decomposition for Minimum Rank Approximation von Kiryung Lee, Bresler, Yoram

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Optimal Sample Complexity for Blind Gain and Phase Calibration von Yanjun Li, Kiryung Lee, Bresler, Yoram

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Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation von Ye, Jong Chul, Kim, Jong Min, Jin, Kyong Hwan, Lee, Kiryung

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Stable Estimation of Pulses of Unknown Shape From Multiple Snapshots via ESPRIT von Kalra, Meghna, Lee, Kiryung

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Oblique Pursuits for Compressed Sensing von Kiryung Lee, Bresler, Yoram, Junge, Marius

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Block-Coordinate Gauss-Newton Optimization and Constrained Monotone Regression for Image Registration in the Presence of Outlier Objects von DONG SIK KIM, LEE, Kiryung

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Near-Optimal Compressed Sensing of a Class of Sparse Low-Rank Matrices Via Sparse Power Factorization von Lee, Kiryung, Wu, Yihong, Bresler, Yoram

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Max-Linear Regression by Convex Programming von Kim, Seonho, Bahmani, Sohail, Lee, Kiryung

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Fast and Guaranteed Blind Multichannel Deconvolution Under a Bilinear System Model von Lee, Kiryung, Tian, Ning, Romberg, Justin

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LOW-RANK MATRIX ESTIMATION FROM RANK-ONE PROJECTIONS BY UNLIFTED CONVEX OPTIMIZATION von Bahmani, Sohail, Lee, Kiryung

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Blind Gain and Phase Calibration via Sparse Spectral Methods von Li, Yanjun, Lee, Kiryung, Bresler, Yoram

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Subspace-augmented MUSIC for joint sparse recovery with any rank von Kiryung Lee, Bresler, Yoram

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Generalized notions of sparsity and restricted isometry property. Part I: a unified framework von Junge, Marius, Lee, Kiryung

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Identifiability Conditions for Compressive Multichannel Blind Deconvolution von Mulleti, Satish, Lee, Kiryung, Eldar, Yonina C.

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Generalized Notions of Sparsity and Restricted Isometry Property. Part II: Applications von Junge, Marius, Lee, Kiryung

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