  Phaseless super-resolution refers to the problem of superresolving a signal
from only its low-frequency Fourier magnitude measurements. In this paper, we
consider the phaseless super-resolution problem of recovering a sum of sparse
Dirac delta functions which can be located anywhere in the continuous
time-domain. For such signals in the continuous domain, we propose a novel
Semidefinite Programming (SDP) based signal recovery method to achieve the
phaseless superresolution. This work extends the recent work of Jaganathan et
al. [1], which considered phaseless super-resolution for discrete signals on
the grid.
