On low rank matrix approximations with applications to synthesis problem in compressed sensing
We consider the synthesis problem of compressed sensing—given s and an M× n matrix A,
extract from A an m× n submatrix A m, with m as small as possible, which is s-good, that is …
extract from A an m× n submatrix A m, with m as small as possible, which is s-good, that is …
[PDF][PDF] On Low Rank Matrix Approximations with Applications to Synthesis Problem in Compressed Sensing
A Juditsky, FK Karzan, A Nemirovski - 2010 - Citeseer
We consider the synthesis problem of Compressed Sensing–given s and an M× n matrix A,
extract from it an m× n submatrix Am, certified to be s-good, with m as small as possible …
extract from it an m× n submatrix Am, certified to be s-good, with m as small as possible …
On Low Rank Matrix Approximations with Applications to Synthesis Problem in Compressed Sensing
A Juditsky, A Nemirovski - SIAM Journal on Matrix Analysis …, 2011 - search.proquest.com
We consider the synthesis problem of compressed sensing--given s and an M× n matrix A,
extract from A an m× n submatrix Am, with m as small as possible, which is s-good, that is …
extract from A an m× n submatrix Am, with m as small as possible, which is s-good, that is …
[PDF][PDF] On Low Rank Matrix Approximations with Applications to Synthesis Problem in Compressed Sensing
A Juditsky, FK Karzan, A Nemirovski - 2011 - optimization-online.org
We consider the synthesis problem of Compressed Sensing–given s and an M× n matrix A,
extract from A an m× n submatrix Am, with m as small as possible, which is s-good, that is …
extract from A an m× n submatrix Am, with m as small as possible, which is s-good, that is …
On Low Rank Matrix Approximations with Applications to Synthesis Problem in Compressed Sensing
A Juditsky, FK Karzan, AS Nemirovski - arXiv preprint arXiv:1001.5103, 2010 - arxiv.org
We consider the synthesis problem of Compressed Sensing-given s and an MXn matrix A,
extract from it an mXn submatrix A', certified to be s-good, with m as small as possible …
extract from it an mXn submatrix A', certified to be s-good, with m as small as possible …
[PDF][PDF] On Low Rank Matrix Approximations with Applications to Synthesis Problem in Compressed Sensing
A Juditsky, FK Karzan, A Nemirovski - 2010 - isye.gatech.edu
We consider the synthesis problem of Compressed Sensing–given s and an M× n matrix A,
extract from it an m× n submatrix Am, certified to be s-good, with m as small as possible …
extract from it an m× n submatrix Am, certified to be s-good, with m as small as possible …
[PDF][PDF] On Low Rank Matrix Approximations with Applications to Synthesis Problem in Compressed Sensing
A Juditsky, FK Karzan, A Nemirovski - 2010 - scholar.archive.org
We consider the synthesis problem of Compressed Sensing–given s and an M× n matrix A,
extract from it an m× n submatrix Am, certified to be s-good, with m as small as possible …
extract from it an m× n submatrix Am, certified to be s-good, with m as small as possible …
[PDF][PDF] On Low Rank Matrix Approximations with Applications to Synthesis Problem in Compressed Sensing
A Juditsky, FK Karzan, A Nemirovski - arXiv preprint arXiv:1001.5103, 2010 - academia.edu
We consider the synthesis problem of Compressed Sensing–given s and an M× n matrix A,
extract from it an m× n submatrix Am, certified to be s-good, with m as small as possible …
extract from it an m× n submatrix Am, certified to be s-good, with m as small as possible …
[PDF][PDF] On Low Rank Matrix Approximations with Applications to Synthesis Problem in Compressed Sensing
A Juditsky, FK Karzan, A Nemirovski - arXiv preprint arXiv …, 2010 - researchgate.net
We consider the synthesis problem of Compressed Sensing–given s and an M× n matrix A,
extract from it an m× n submatrix Am, certified to be s-good, with m as small as possible …
extract from it an m× n submatrix Am, certified to be s-good, with m as small as possible …
On Low Rank Matrix Approximations with Applications to Synthesis Problem in Compressed Sensing
AB Juditsky, FK Karzan, AS Nemirovski - SIAM Journal on Matrix …, 2011 - hal.science
We consider the synthesis problem} of Compressed Sensing-given s and an MXn matrix A,
extract from it an mXn submatrix A', certified to be s-good, with m as small as possible …
extract from it an mXn submatrix A', certified to be s-good, with m as small as possible …