Mean Square Convergence

Mean Square Convergence is a type of convergence in the context of Fourier series where a sequence of partial sums converges to a function if the integral of the square of the difference between the partial sums and the function over the interval approaches zero as the number of terms increases.

413

Publications

23.8K

Citations

645

Authors

334

Institutions

Publications per year

2017–2026

79

Variants

Convergence In Mean SquareL2 Convergence

Authors

645

  1. DF
    Dmitriy F. Kuznetsov

    Peter the Great St. Petersburg Polytechnic University, Russia

    11 publications · 241 citations

    10

    h-index

  2. BC
    Badong Chen

    Xi'an Jiaotong University, China

    9 publications · 1.6K citations

    9

    h-index

  3. PN
    Paul Nevai

    The Ohio State University, United States

    8 publications · 451 citations

    8

    h-index

  4. EB
    Evelyn Buckwar

    Johannes Kepler University of Linz, Austria

    6 publications · 219 citations

    6

    h-index

  5. BM
    Benjamin Muckenhoupt

    Rutgers, The State University of New Jersey, United States

    6 publications · 367 citations

    6

    h-index

1–5 of 645

Venues

  1. IEEE Transactions on Signal Processing

    27 publications · 2.3K citations

    22

    h-index

  2. IEEE Transactions on Automatic Control

    20 publications · 2.2K citations

    17

    h-index

  3. Transactions of the American Mathematical Society

    TRAN · 16 publications · 903 citations

    14

    h-index

  4. Journal of Approximation Theory

    12 publications · 349 citations

    11

    h-index

  5. IEEE Transactions on Information Theory

    11 publications · 533 citations

    11

    h-index

1–5