Weak pre-orthogonal adaptive Fourier decomposition in Bergman spaces of pseudoconvex domains

Author(s):  
Hio Tong Wu ◽  
Ieng Tak Leong ◽  
Tao Qian
1998 ◽  
Vol 50 (3) ◽  
pp. 658-672 ◽  
Author(s):  
Frédéric Symesak

AbstractThe aimof this paper is to study small Hankel operators h on the Hardy space or on weighted Bergman spaces,where Ω is a finite type domain in ℂ2 or a strictly pseudoconvex domain in ℂn. We give a sufficient condition on the symbol ƒ so that h belongs to the Schatten class Sp, 1 ≤ p < +∞.


2019 ◽  
Vol 42 (6) ◽  
pp. 2016-2024
Author(s):  
Yanbo Wang ◽  
Tao Qian

2011 ◽  
Vol 03 (03) ◽  
pp. 325-338
Author(s):  
LIMING ZHANG ◽  
HONG LI

This paper presents a novel signal decomposition approach — adaptive Fourier decomposition (AFD), which decomposes a given signal based on its physical characters. The algorithm is described in detail, that is based on recent theoretical studies on analytic instantaneous frequencies and stands as a realizable variation of the greedy algorithm. The principle of the algorithm gives rise to fast convergence in terms of energy. Effectiveness of the algorithm is evaluated by comparison experiments with the classical Fourier decomposition (FD) algorithm. The results are promising.


2007 ◽  
Vol 188 ◽  
pp. 19-30 ◽  
Author(s):  
Żywomir Dinew

AbstractWe use a method of Berndtsson to obtain a simplification of Ohsawa’s result concerning extension of L2-holomorphic functions. We also study versions of the Ohsawa-Takegoshi theorem for some unbounded pseudoconvex domains, with an application to the theory of Bergman spaces. Using these methods we improve some constants, that arise in related inequalities.


2017 ◽  
Vol 324 ◽  
pp. 204-215 ◽  
Author(s):  
You Gao ◽  
Min Ku ◽  
Tao Qian ◽  
Jianzhong Wang

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