Sparse Spectral Estimation

Sparse Spectral Estimation is a spectral analysis method that exploits sparsity in the frequency domain by modeling the power spectrum as a sparse combination of basis elements, enabling high-resolution frequency recovery from limited or undersampled data.

169

Publications

6.4K

Citations

490

Authors

238

Institutions

Publications per year

2017–2026

46

Authors

490

  1. AJ
    Andreas Jakobsson

    Lund University, Sweden

    8 publications · 227 citations

    8

    h-index

  2. MK
    M. Kaveh

    University of Minnesota, United States

    4 publications · 174 citations

    4

    h-index

  3. BR
    Benjamin Recht

    University of California, Berkeley, United States

    3 publications · 217 citations

    3

    h-index

  4. GT
    Gongguo Tang

    Colorado School of Mines, United States

    3 publications · 217 citations

    3

    h-index

  5. PS
    Petre Stoica

    Uppsala University, Sweden

    3 publications · 124 citations

    3

    h-index

1–5 of 490

Venues

  1. IEEE Transactions on Signal Processing

    15 publications · 1.3K citations

    14

    h-index

  2. Signal Processing

    14 publications · 441 citations

    11

    h-index

  3. Journal of Magnetic Resonance

    JMR · 5 publications · 177 citations

    5

    h-index

  4. arXiv (Cornell University)

    Repository · 5 publications · 95 citations

    5

    h-index

  5. Mechanical Systems and Signal Processing

    MSSP · 5 publications · 144 citations

    5

    h-index

1–5