A deep heterogeneous optimization framework for Bayesian compressive sensing

• Published in: Computer communications Vol. 178; pp. 74 - 82
• Main Authors: Qin, Le, Cao, Yuanlong, Shao, Xun, Luo, Yong, Rao, Xinping, Yi, Yugen, Lei, Gang
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.10.2021
• Subjects: Bayesian compressive sensing (BCS); Compressed sensing (CS); Data compression; Deep learning; Deep learning; Bayesian compressive sensing (BCS); Compressed sensing (CS); Data compression

The Bayesian compressive sensing (BCS) is an available approach for data compressions based on compressed sensing framework. Moreover, the priors of sparse signals play a key role in BCS. Various studies that exploit the priors only via models generating, which exist the low prior utilizations. Ther...