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
Parents
413
On convergence and growth of partial sums of Fourier series
Lennart Carleson · Acta Mathematica · 1966 · 1K citations · Full text
Stochastic differential equations
N. G. van Kampen · Physics Reports · 1976 · 739 citations
Generalized Correntropy for RobustAdaptive Filtering
Badong Chen, Lei Xing, Haiquan Zhao et al. · IEEE Transactions on Signal Processing · 2016 · 739 citations · Full text
1–5 of 413
645
Peter the Great St. Petersburg Polytechnic University, Russia
11 publications · 241 citations
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8
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6
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Rutgers, The State University of New Jersey, United States
6 publications · 367 citations
6
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1–5 of 645
334
University of Florida
Gainesville, United States
12 h-index
22 publications
2.3K citations

Chinese Academy of Sciences
Beijing, China
11 h-index
20 publications
1.6K citations

Southwest Jiaotong University
Chengdu, China
7 h-index
10 publications
1.3K citations
Stanford University
Stanford, United States
7 h-index
10 publications
611 citations
The Ohio State University
Columbus, United States
7 h-index
8 publications
218 citations
Academy of Mathematics and Systems Science
Beijing, China
7 h-index
12 publications
543 citations

Australian National University
Canberra, Australia
6 h-index
10 publications
1.4K citations
Pohang University of Science and Technology
Pohang, South Korea
6 h-index
21 publications
1.2K citations
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27 publications · 2.3K citations
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20 publications · 2.2K citations
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TRAN · 16 publications · 903 citations
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12 publications · 349 citations
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11 publications · 533 citations
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