Signal recovery from multiple measurement vectors via tunable random projection and boost

• Main Authors: Gai, Jianxin., Fu, Ping., Li, Zhen., Qiao, Jiaqing.
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/85066; http://hdl.handle.net/10220/12026
• Institution: Nanyang Technological University

The problem of recovering a sparse solution from Multiple Measurement Vectors (MMVs) is a fundamental issue in the field of signal processing. However, the performance of existing recovery algorithms is far from satisfactory in terms of maximum recoverable sparsity level and minimum number of measur...