- "A Kaczmarz Method for Low Rank Matrix Recovery", Signal Processing with Adaptive Sparse Structural Representation (SPARS), June 2017. ,
The Kaczmarz method , ,  was initially proposed as a row-based technique for reconstructing signals by finding the solutions to overdetermined linear systems. Its usefulness has seen wide application in irregular sampling and tomography , , . In recent years, several modifications to the Kaczmarz update iterations have improved the recovery capabilities , , , , . In particular, signal sparsity was exploited in ,  and low-rankness in  to improve the rate of convergence in the overdetermined case while also enabling recovery from underdetermined linear systems.