GAMP_SBL:通过广义近似消息传递进行计算有效的稀疏贝叶斯学习

# GAMP_SBL Computationally Efficient Sparse Bayesian Learning via Generalized Approximate Message Passing This is an implementation of the GAMP-SBL algorithm. More details can be found in Fuwei Li, Jun Fang, Huiping Duan, Zhi Chen, Hongbin Li,'Computationally Efficient Sparse Bayesian Learning via Generalized Approximate Message Passing' submitted to arXiv. http://arxiv.org/abs/1501.04762 Formally published paper can be found [X. Zou, F. Li, J. Fang and H. Li, "Computationally efficient sparse Bayesian learning via generalized approximate message passing," IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB), Nanjing, 2016, pp. 1-4](https://ieeexplore.ieee.org/document/7790383)