Search Results for author: Soura Dasgupta

Found 3 papers, 0 papers with code

Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach

no code implementations4 Nov 2017 Weiyu Xu, Jirong Yi, Soura Dasgupta, Jian-Feng Cai, Mathews Jacob, Myung Cho

However, it is known that in order for TV minimization and atomic norm minimization to recover the missing data or the frequencies, the underlying $R$ frequencies are required to be well-separated, even when the measurements are noiseless.

Super-Resolution

Two step recovery of jointly sparse and low-rank matrices: theoretical guarantees

no code implementations5 Dec 2014 Sampurna Biswas, Sunrita Poddar, Soura Dasgupta, Raghuraman Mudumbai, Mathews Jacob

We introduce a two step algorithm with theoretical guarantees to recover a jointly sparse and low-rank matrix from undersampled measurements of its columns.

Subspace based low rank and joint sparse matrix recovery

no code implementations5 Dec 2014 Sampurna Biswas, Sunrita Poddar, Soura Dasgupta, Raghuraman Mudumbai, Mathews Jacob

We consider the recovery of a low rank and jointly sparse matrix from under sampled measurements of its columns.

Time Series

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