@article{ZHANG2023, 
author = {Qilei ZHANG and Bin SUN},
title = {Complex multitask Bayesian compressive sensing algorithm using modified Laplace priors},
year = {2023},
journal = {Journal of National University of Defense Technology},
volume = {45},
number = {5},
pages = {150-156},
keywords = {Bayesian compressive sensing, multitask learning, modified Laplace priors, complex Bayesian compressive sensing},
url = {https://www.sciopen.com/article/10.11887/j.cn.202305017},
doi = {10.11887/j.cn.202305017},
abstract = {To extend the existing real-valued BCS (Bayesian compressive sensing) framework to the complex-valued one, a CMBCS-MLP (complex multitask Bayesian compressive sensing algorithm using modified Laplace priors) was developed to eliminate the impact of measurement noise variance, and a fast algorithm based on sequential operations was further derived. It is demonstrated by numerical examples that the developed CMBCS-MLP algorithm is more accurate and robust than the existing algorithms in the complex sparse signal reconstructions.}
}