Line Spectral Estimation

Line Spectral Estimation is a spectral analysis method that characterizes the frequency content of a signal by identifying discrete sinusoidal components embedded in noise, distinguished from other spectral estimation techniques by its focus on parameterizing sparse, dominant spectral lines rather than estimating the complete continuous power spectrum.

95

Publications

9.3K

Citations

190

Authors

101

Institutions

Publications per year

2017–2026

30

Authors

190

  1. BR
    Benjamin Recht

    University of California, Berkeley, United States

    7 publications · 931 citations

    7

    h-index

  2. BN
    Badri Narayan Bhaskar

    University of Wisconsin–Madison, United States

    7 publications · 931 citations

    7

    h-index

  3. GT
    Gongguo Tang

    Colorado School of Mines, United States

    7 publications · 877 citations

    7

    h-index

  4. JZ
    Jiang Zhu

    Zhejiang University, China

    5 publications · 164 citations

    5

    h-index

  5. ZY
    Zai Yang

    Nanyang Technological University, Singapore

    5 publications · 455 citations

    5

    h-index

1–5 of 190

Venues

  1. IEEE Transactions on Signal Processing

    21 publications · 3.1K citations

    17

    h-index

  2. Signal Processing

    5 publications · 200 citations

    5

    h-index

  3. arXiv (Cornell University)

    Repository · 5 publications · 179 citations

    5

    h-index

  4. IEEE Signal Processing Letters

    5 publications · 222 citations

    5

    h-index

  5. IEEE Transactions on Information Theory

    4 publications · 828 citations

    4

    h-index

1–5