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19932026
most citedSubspace Methods for Joint Sparse Recovery

187 citations · 1.5k across the 105 of their papers we have counts for

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Showing 2015Show all

11 papers · 1 filter

cs.IT2015

Blind Recovery of Sparse Signals from Subsampled Convolution

Kiryung Lee, Yanjun Li, Marius Junge +1

Subsampled blind deconvolution is the recovery of two unknown signals from samples of their convolution. To overcome the ill-posedness of this problem, solutions based on priors ta…

cs.IT2015★ 16 cited

RIP-like Properties in Subsampled Blind Deconvolution

Kiryung Lee, Marius Junge

We derive near optimal performance guarantees for subsampled blind deconvolution. Blind deconvolution is an ill-posed bilinear inverse problem and additional subsampling makes the…

math.OA2015★ 1 cited

Generalized -Gaussian von Neumann algebras with coefficients, II. Absence of central sequences

Marius Junge, Bogdan Udrea

We show that the generalized -gaussian von Neumann algebras with coefficients with a finite dimensional factor, dim sub-exponential and the di…

math.OA2015★ 1 cited

Generalized -Gaussian von Neumann algebras with coefficients, III. Unique prime factorization results

Marius Junge, Bogdan Udrea

We prove some unique prime factorization results for tensor products of type factors of the form arising from symmetric independent copies wit…

quant-ph2015★ 6 cited

Capacity Bounds via Operator Space Methods

Li Gao, Marius Junge, Nicholas LaRacuente

Quantum capacity, as the ultimate transmission rate of quantum communication, is characterized by regularized coherent information. In this work, we reformulate approximations of t…

quant-ph2015★ 116 cited

Universal recovery maps and approximate sufficiency of quantum relative entropy

Marius Junge, Renato Renner, David Sutter +2

The data processing inequality states that the quantum relative entropy between two states and can never increase by applying the same quantum channel to both…