Extensions of compressed sensing

@article{Tsaig2006ExtensionsOC,
  title={Extensions of compressed sensing},
  author={Y. Tsaig and D. Donoho},
  journal={Signal Process.},
  year={2006},
  volume={86},
  pages={549-571}
}
We study the notion of compressed sensing (CS) as put forward by Donoho, Candes, Tao and others. The notion proposes a signal or image, unknown but supposed to be compressible by a known transform, (e.g. wavelet or Fourier), can be subjected to fewer measurements than the nominal number of data points, and yet be accurately reconstructed. The samples are nonadaptive and measure 'random' linear combinations of the transform coefficients. Approximate reconstruction is obtained by solving for the… Expand
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