For Matrix Recovery, Rank Restricted Isometry Property and Robust Uniform Boundedness Property Imply Rank Robust Null Space Property

摘要

Compressed sensing refers to the recovery of high-dimensional but low-complexity objects from a small number of measurements. The recovery of sparse vectors and the recovery of low-rank matrices are the main applications of compressed sensing theory. In v