Corpus ID: 6563248

Blind Calibration in Compressed Sensing using Message Passing Algorithms

@inproceedings{Schlke2013BlindCI,
  title={Blind Calibration in Compressed Sensing using Message Passing Algorithms},
  author={Christophe Sch{\"u}lke and F. Caltagirone and F. Krzakala and L. Zdeborov{\'a}},
  booktitle={NIPS},
  year={2013}
}
  • Christophe Schülke, F. Caltagirone, +1 author L. Zdeborová
  • Published in NIPS 2013
  • Computer Science, Physics, Mathematics
  • Compressed sensing (CS) is a concept that allows to acquire compressible signals with a small number of measurements. As such it is very attractive for hardware implementations. Therefore, correct calibration of the hardware is a central is- sue. In this paper we study the so-called blind calibration, i.e. when the training signals that are available to perform the calibration are sparse but unknown. We extend the approximate message passing (AMP) algorithm used in CS to the case of blind… CONTINUE READING
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