Communications in Mathematical Sciences
Volume 15 (2017)
On robust width property for Lasso and Dantzig selector
Pages: 2387 – 2393
Recently, Cahill and Mixon completely characterized sensing operators in many compressed sensing instances with a robust width property, which allows uniformly stable and robust reconstruction via certain convex optimization. However, their current theory does not cover the Lasso and Dantzig selector models, both of which are popular alternatives in statistics and optimization community. In this short note, we show that the robust width property can be perfectly applied to these two types of models as well. Our main results affirmatively answer the question left by Cahill and Mixon.
robust width property, compressed sensing, Lasso model, Dantzig selector model
2010 Mathematics Subject Classification
65F22, 65K05, 90C25
This work is supported by the National Science Foundation of China (No. 11501569 and No. 61571008).
Paper received on 8 May 2017.
Paper accepted on 24 August 2017.