• 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}
}

• Shriram Sarvotham, Dror Z. Baron, Richard G. Baraniuk

View PDF

Save to Library

Create Alert

Cite

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.