Stable Convergence
Stable Convergence is a type of convergence in probability theory where a sequence of random variables converges in distribution to a limiting random variable on an enriched probability space, such that the limit remains measurable with respect to the original σ-algebra augmented by an independent source of randomness.
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M. G. Moharam, T. K. Gaylord, Drew A. Pommet et al. · Journal of the Optical Society of America A · 1995 · 1.6K citations · Full text
Computing, Electrical Engineering, Computational Electromagnetics +10
A variable step size LMS algorithm
R.H. Kwong, E.W. Johnston · IEEE Transactions on Signal Processing · 1992 · 1.1K citations
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University of Illinois Urbana-Champaign
Urbana, United States
8 h-index
13 publications
899 citations
The University of Tokyo
Tokyo, Japan
6 h-index
11 publications
362 citations
Institute of Mathematics
Warsaw, Poland
6 h-index
10 publications
256 citations

Sorbonne Université
Paris, France
6 h-index
6 publications
435 citations
Université de Rennes
Rennes, France
5 h-index
5 publications
246 citations

Chinese Academy of Sciences
Beijing, China
5 h-index
12 publications
1.5K citations

University of Toronto
Toronto, Canada
5 h-index
5 publications
1.3K citations

Imperial College London
London, United Kingdom
5 h-index
6 publications
278 citations
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