frequency-space   1

[1109.0573] Phase Retrieval via Matrix Completion
"This paper considers the fundamental problem of recovering a general signal, an image for example, from the magnitude of its Fourier transform. This problem, also known as phase retrieval, arises in many applications and has challenged engineers, physicists, and mathematicians for decades. Its origin comes from the fact that detectors can often times only record the squared modulus of the Fresnel or Fraunhofer diffraction pattern of the radiation that is scattered from an object. In such settings, one cannot measure the phase of the optical wave reaching the detector and, therefore, much information about the scattered object or the optical field is lost since, as is well known, the phase encodes a lot of the structural content of the image we wish to form."
image-processing  inverse-problems  signal-processing  system-identification  frequency-space  algorithms  nudge-targets  numerical-methods 
october 2011 by Vaguery

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