Pages

Friday, October 24, 2014

SparsePR: Robust Sparse Phase Retrieval Made Easy - implementation -


Robust Sparse Phase Retrieval Made Easy by Mark Iwen, Aditya Viswanathan, Yang Wang

In this short note we propose a simple two-stage sparse phase retrieval strategy that uses a near-optimal number of measurements, and is both computationally efficient and robust to measurement noise. In addition, the proposed strategy is fairly general, allowing for a large number of new measurement constructions and recovery algorithms to be designed with minimal effort.  
The implementation of SparsePR is here. SparsePR uses CVX and TFOCS.
 
Join the CompressiveSensing subreddit or the Google+ Community and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.

No comments:

Post a Comment