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Turbo Compressed Sensing with Partial DFT Sensing Matrix

Information Theory 2014-09-10 v2 math.IT

Abstract

In this letter, we propose a turbo compressed sensing algorithm with partial discrete Fourier transform (DFT) sensing matrices. Interestingly, the state evolution of the proposed algorithm is shown to be consistent with that derived using the replica method. Numerical results demonstrate that the proposed algorithm outperforms the well-known approximate message passing (AMP) algorithm when a partial DFT sensing matrix is involved.

Keywords

Cite

@article{arxiv.1408.3904,
  title  = {Turbo Compressed Sensing with Partial DFT Sensing Matrix},
  author = {Junjie Ma and Xiaojun Yuan and Li Ping},
  journal= {arXiv preprint arXiv:1408.3904},
  year   = {2014}
}

Comments

IEEE Signal Processing Letters, (Volume:22, Issue: 2), Feb. 2015

R2 v1 2026-06-22T05:31:39.816Z