Compressed Sensing Acquisition

Compressed Sensing Acquisition is a signal acquisition framework that enables the reconstruction of sparse or compressible signals from a significantly reduced number of measurements by exploiting signal sparsity and incoherent sampling, distinguishing itself from conventional acquisition methods through its reliance on optimization-based recovery rather than Nyquist-rate sampling.

158

Publications

7.7K

Citations

638

Authors

242

Institutions

Publications per year

2017–2026

58

Authors

638

  1. AJ
    Andrew J. Sederman

    University of Cambridge, United Kingdom

    4 publications · 169 citations

    4

    h-index

  2. LF
    Lynn F. Gladden

    University of Cambridge, United Kingdom

    4 publications · 194 citations

    4

    h-index

  3. JM
    Jim M. Wild

    University of Sheffield, United Kingdom

    4 publications · 127 citations

    4

    h-index

  4. AM
    Armin M. Nagel

    Heidelberg University, Germany

    3 publications · 50 citations

    3

    h-index

  5. MU
    Michael Uder

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    3 publications · 50 citations

    3

    h-index

1–5 of 638

Venues

  1. Magnetic Resonance in Medicine

    MRM · 15 publications · 695 citations

    14

    h-index

  2. Journal of Magnetic Resonance

    JMR · 7 publications · 284 citations

    7

    h-index

  3. Optics Letters

    6 publications · 381 citations

    6

    h-index

  4. IEEE Transactions on Signal Processing

    4 publications · 144 citations

    4

    h-index

  5. Magnetic Resonance Imaging

    4 publications · 88 citations

    4

    h-index

1–5