Through the Haze: A Non-Convex Approach to Blind Calibration for Linear Random Sensing Models


Computational sensing strategies often suffer from calibration errors in the physical implementation of their ideal sensing models. Such uncertainties are typically addressed by using multiple, accurately chosen training signals to recover the missing information on the sensing model, an approach that can be resource-consuming and cumbersome. Conversely… (More)


9 Figures and Tables


Citations per Year

Citation Velocity: 22

Averaging 22 citations per year over the last 2 years.

Learn more about how we calculate this metric in our FAQ.

Slides referencing similar topics