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通过伽柏乘数逼近希尔伯特-施密特算子的可实现算法。

Realizable algorithm for approximating Hilbert-Schmidt operators via Gabor Multipliers.

作者信息

Onchis Darian M, Zappalà Simone

机构信息

Darian M. Onchis is with the Faculty of Mathematics, University of Vienna, Austria and Faculty of Mathematics and Computer Science, West University of Timisoara, Romania.

Simone Zappalà is with the Faculty of Mathematics, University of Vienna, Austria.

出版信息

J Comput Appl Math. 2018 Aug 1;337:119-124. doi: 10.1016/j.cam.2018.01.006. Epub 2018 Feb 3.

Abstract

In this work, we consider new computational aspects to improve the approximation of Hilbert-Schmidt operators via generalized Gabor multipliers. One aspect is to consider the approximation of the symbol of an Hilbert-Schmidt operator as projection in the spline-type space associated to a Gabor multiplier. This gives the possibility to employ a selection procedure of the analysis and synthesis function, interpreted as time-frequency lag; hence, with the related algorithm it is possible to handle both underspread and overspread operators. In the numerical section, we exploit the case of approximating overspread operators having compact and smooth spreading function and discontinuous time-varying systems. For the latter, the approximation of discontinuities in the symbol is not straightforward achievable in the generalized Gabor multipliers setting. For this reason, another aspect is to further process the symbol through a Hough transform, to detect discontinuities and to smooth them using a new class of approximants. This procedure creates a bridge between features detections techniques and harmonic analysis methods and in specific cases it almost doubles the accuracy of approximation.

摘要

在这项工作中,我们考虑了新的计算方面,以通过广义伽柏乘子改进希尔伯特 - 施密特算子的逼近。一方面是将希尔伯特 - 施密特算子符号的逼近视为在与伽柏乘子相关的样条型空间中的投影。这使得可以采用分析和合成函数的选择过程,将其解释为时频延迟;因此,通过相关算法可以处理欠扩展和过扩展算子。在数值部分,我们利用了逼近具有紧致且光滑扩展函数的过扩展算子以及时变不连续系统的情况。对于后者,在广义伽柏乘子设置中,符号中的不连续性逼近并非直接可行。因此,另一个方面是通过霍夫变换进一步处理符号,以检测不连续性并使用一类新的近似函数对其进行平滑处理。此过程在特征检测技术与调和分析方法之间架起了一座桥梁,并且在特定情况下它几乎将逼近精度提高了一倍。

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本文引用的文献

1
Stability of Spline-Type Systems in the Abelian Case.
Symmetry (Basel). 2017 Dec 27;10(1):7. doi: 10.3390/sym10010007.
2
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Proc Int Symp Symb Numer Algorithms Sci Comput. 2016;18:99-104. doi: 10.1109/SYNASC.2016.027.

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