Robustly stable signal recovery in compressed sensing with structured matrix perturbation

• Main Authors: Yang, Zai, Zhang, Cishen, Xie, Lihua
• 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/10356/100144; http://hdl.handle.net/10220/13582
• Institution: Nanyang Technological University

The sparse signal recovery in the standard compressed sensing (CS) problem requires that the sensing matrix be known a priori. Such an ideal assumption may not be met in practical applications where various errors and fluctuations exist in the sensing instruments. This paper considers the problem of...