Learning-Based Compressive Subsampling

@article{Baldassarre2016LearningBasedCS,
  title={Learning-Based Compressive Subsampling},
  author={Luca Baldassarre and Yen-Huan Li and Jonathan Scarlett and Baran G{\"o}zc{\"u} and Ilija Bogunovic and Volkan Cevher},
  journal={IEEE Journal of Selected Topics in Signal Processing},
  year={2016},
  volume={10},
  pages={809-822}
}
The problem of recovering a structured signal x ∈ C<sup>p</sup> from a set of dimensionality-reduced linear measurements b = Ax arises in a variety of applications, such as medical imaging, spectroscopy, Fourier optics, and computerized tomography. Due to computational and storage complexity or physical constraints imposed by the problem, the measurement matrix A ∈ C<sup>n×p</sup> is often of the form A = P<sub>Ω</sub>Ψ for some orthonormal basis matrix Ψ ∈ C<sup>P×P</sup> and subsampling… CONTINUE READING
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