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

• المؤلفون الرئيسيون: Gai, Jianxin., Fu, Ping., Li, Zhen., Qiao, Jiaqing.
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/85066; http://hdl.handle.net/10220/12026

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...