Minimum Mean Square Error Estimation

Minimum Mean Square Error Estimation is a parameter estimation method that belongs to the class of Bayesian estimators and is distinguished by its objective of minimizing the expected value of the squared difference between the estimated parameters and their true values under a given prior distribution.

1.2K

Publications

94.2K

Citations

2.6K

Authors

969

Institutions

Publications per year

2017–2026

247

Variants

Mmse Estimation

Authors

2.6K

  1. YC
    Yonina C. Eldar

    Technion – Israel Institute of Technology, Israel

    12 publications · 1.1K citations

    11

    h-index

  2. MM
    Mikhail Moklyachuk

    Taras Shevchenko National University of Kyiv, Ukraine

    10 publications · 158 citations

    10

    h-index

  3. XR
    X. Rong Li

    University of New Orleans, United States

    9 publications · 386 citations

    9

    h-index

  4. SV
    Sergio Verdú

    Princeton University, United States

    9 publications · 2.1K citations

    9

    h-index

  5. HV
    H. Vincent Poor

    Princeton University, United States

    8 publications · 209 citations

    8

    h-index

1–5 of 2.6K

Venues

  1. IEEE Transactions on Signal Processing

    125 publications · 8.7K citations

    48

    h-index

  2. IEEE Transactions on Information Theory

    45 publications · 4.6K citations

    28

    h-index

  3. IEEE Transactions on Wireless Communications

    22 publications · 969 citations

    19

    h-index

  4. IEEE Communications Letters

    25 publications · 1.4K citations

    18

    h-index

  5. IEEE Signal Processing Letters

    29 publications · 2K citations

    17

    h-index

1–5