Corpus ID: 17947061

Practical approximate projection schemes in greedy signal space methods

@article{Garnatz2014PracticalAP,
  title={Practical approximate projection schemes in greedy signal space methods},
  author={Chris Garnatz and Xiaoyi Gu and Alison Kingman and James LaManna and Deanna Needell and Shenyinying Tu},
  journal={ArXiv},
  year={2014},
  volume={abs/1409.1527}
}
  • Chris Garnatz, Xiaoyi Gu, +3 authors Shenyinying Tu
  • Published in ArXiv 2014
  • Mathematics, Computer Science
  • Compressive sensing (CS) is a new signal acquisition paradigm which shows that far fewer samples are required to reconstruct sparse signals than previously thought. Although most of the literature focuses on signals sparse in a fixed orthonormal basis, recently the Signal Space CoSaMP (SSCoSaMP) greedy method was developed for the reconstruction of signals compressible in arbitrary redundant dictionaries. The algorithm itself needs access to approximate sparse projection schemes, which have… CONTINUE READING

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