Sparse and low-rank recovery using adaptive thresholding

- A low-rank and sparse recovery algorithm is proposed.
- It is iterative that uses an adaptive thresholding operator in each iteration.
- It is robust even if the sparse noise is dominant the low-rank signal in magnitude.