Learning-Based Compressive Subsampling

  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},
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
Highly Cited
This paper has 25 citations. REVIEW CITATIONS
Related Discussions
This paper has been referenced on Twitter 13 times. VIEW TWEETS


Publications citing this paper.
Showing 1-10 of 10 extracted citations

Learning-Based Design of Measurement Matrix with Inter-Column Correlation for Compressive Sensing

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2018
View 10 Excerpts
Highly Influenced

Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants

IEEE Transactions on Circuits and Systems I: Regular Papers • 2018

Learning-Based Compressive MRI

IEEE Transactions on Medical Imaging • 2018
View 4 Excerpts

Learning-based near-optimal area-power trade-offs in hardware design for neural signal acquisition

2016 International Great Lakes Symposium on VLSI (GLSVLSI) • 2016
View 3 Excerpts


Publications referenced by this paper.
Showing 1-10 of 31 references

Sparse MRI: The application of compressed sensing for rapid MR imaging.

Magnetic resonance in medicine • 2007
View 10 Excerpts
Highly Influenced

Structured sampling and recovery of iEEG signals

2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) • 2015
View 1 Excerpt

Similar Papers

Loading similar papers…