• Published 2006

Compressed Sensing Reconstruction via Belief Propagation

@inproceedings{Sarvotham2006CompressedSR,
  title={Compressed Sensing Reconstruction via Belief Propagation},
  author={Shriram Sarvotham and Dror Z. Baron and Richard G. Baraniuk},
  year={2006}
}
Compressed sensing is an emerging field that enables to reconstruct sparse or compressible signals from a small number of linear projections. We describe a specific measurement scheme using an LDPC-like measurement matrix, which is a real-valued analogue to LDPC techniques over a finite alphabet. We then describe the reconstruction details for mixture Gaussian signals. The technique can be extended to additional compressible signal models. 

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