2 papers
cs.IT2020
Approximate Message Passing with Unitary Transformation for Robust Bilinear Recovery
Zhengdao Yuan, Qinghua Guo, Man Luo
Recently, several promising approximate message passing (AMP) based algorithms have been developed for bilinear recovery with model $\boldsymbol{Y}=\sum_{k=1}^K b_k \boldsymbol{A}_…
cs.IT2019
Sparse Bayesian Learning Using Approximate Message Passing with Unitary Transformation
Man Luo, Qinghua Guo
Sparse Bayesian learning (SBL) can be implemented with low complexity based on the approximate message passing (AMP) algorithm. However, it is vulnerable to `difficult' measurement…