Recovery of Low-Rank Matrices Under Affine Constraints via a Smoothed Rank Function
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: 2014شناسه الکترونیک: 10.1109/TSP.2013.2295557
کلیدواژه(گان): affine transforms,compressed sensing,matrix algebra,affine constraints,low-rank matrices recovery,matrix rank minimization,nonconvex program,nuclear norm minimization,rank minimization problem,rough approximation,smoothed rank function,spherical section property,state-of-the-art algorithms,Approximation algorithms,Approximation methods,Compressed sensing,Minimization,Sensors,Signal processing algorithms,Vectors,affine rank minimization (ARM),compressive sensing,matrix compl
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Recovery of Low-Rank Matrices Under Affine Constraints via a Smoothed Rank Function
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contributor author | Malek-Mohammadi, Mohammadreza | |
contributor author | Babaie-Zadeh, Massoud | |
contributor author | Amini, Amin | |
contributor author | Jutten, Christian | |
date accessioned | 2020-03-12T18:37:15Z | |
date available | 2020-03-12T18:37:15Z | |
date issued | 2014 | |
identifier issn | 1053-587X | |
identifier other | 6690195.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/964599 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Recovery of Low-Rank Matrices Under Affine Constraints via a Smoothed Rank Function | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 7998137 | |
subject keywords | affine transforms | |
subject keywords | compressed sensing | |
subject keywords | matrix algebra | |
subject keywords | affine constraints | |
subject keywords | low-rank matrices recovery | |
subject keywords | matrix rank minimization | |
subject keywords | nonconvex program | |
subject keywords | nuclear norm minimization | |
subject keywords | rank minimization problem | |
subject keywords | rough approximation | |
subject keywords | smoothed rank function | |
subject keywords | spherical section property | |
subject keywords | state-of-the-art algorithms | |
subject keywords | Approximation algorithms | |
subject keywords | Approximation methods | |
subject keywords | Compressed sensing | |
subject keywords | Minimization | |
subject keywords | Sensors | |
subject keywords | Signal processing algorithms | |
subject keywords | Vectors | |
subject keywords | affine rank minimization (ARM) | |
subject keywords | compressive sensing | |
subject keywords | matrix compl | |
identifier doi | 10.1109/TSP.2013.2295557 | |
journal title | Signal Processing, IEEE Transactions on | |
journal volume | 62 | |
journal issue | 4 | |
filesize | 3103048 | |
citations | 0 |