GitHub - aparek/EnhancedLowRankMatrixApproximation: Low-rank matrix estimation using convex non-convex prior

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Low-rank matrix estimation using convex non-convex prior

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
LICENSE		LICENSE
atanT2.m		atanT2.m
demo1.m		demo1.m
demo1.pdf		demo1.pdf
demo2.m		demo2.m
demo2.pdf		demo2.pdf
readme.txt		readme.txt
thresh.m		thresh.m

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The MATLAB code contained in this directory demonstrates the 
Enhanced Low-Rank Matrix Approximation (ELMA) method [1] for 
estimating a low-rank matrix from its noisy observation.
     
This directory contains the following files

1. demo.m
   This file demonstrates the ELMA method and compares it with
   the nuclear norm minimization (NNM).
         
2. demo2.m
   This file plots the penalty functions and their corresponding
   threshold functions. 
       
Contact: Ankit Parekh ([email protected])
 
[1] Enhanced Low-Rank Matrix Approximation,
     Ankit Parekh and Ivan Selesnick, 
     IEEE Signal Processing Letters, 2016.