Norm minimized Scattering Data from Intensity Spectra

Abstract

We apply the $l_1$ minimizing technique of compressive sensing (CS) to non-linear quadratic observations. For the example of coherent X-ray scattering we provide the formulae for a Kalman filter approach to quadratic CS and show how to reconstruct the scattering data from their spatial intensity distribution.

26 pages, 10 figures, reordered sections

References in corpus (2)

• Kalman Filtered Compressed Sensing
• Coherent Diffraction Imaging of Single 95nm Nanowires