复复Gabor框架与时频空间的辛分析

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Applied and Computational Harmonic Analysis Pub Date : 2023-09-09 DOI:10.1016/j.acha.2023.101594
Elena Cordero , Gianluca Giacchi
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引用次数: 2

摘要

我们引入了新的框架,称为元辛Gabor框架,作为元辛Wigner分布框架中Gabor框架的自然推广,参见[7],[8],[5],[17],[27],[28]。也就是说,我们在一个完全通用的环境中发展了元辛原子的理论,并证明了Rd上的元辛Wigner分布的反演公式。它的离散化提供了元辛Gabor框架。接下来,我们加深了对所谓的移位可逆元辛Wigner分布的理解,表明它们可以表示为,直到啁啾,重新缩放的短时傅立叶变换。作为一个应用,我们导出了调制和Wiener汞齐空间的一个新的特征。因此,这些元辛分布(和相关帧)提供了对局部频率的有意义的定义,并且可以用于有效地测量信号的局部频率含量。
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Metaplectic Gabor frames and symplectic analysis of time-frequency spaces

We introduce new frames, called metaplectic Gabor frames, as natural generalizations of Gabor frames in the framework of metaplectic Wigner distributions, cf. [7], [8], [5], [17], [27], [28]. Namely, we develop the theory of metaplectic atoms in a full-general setting and prove an inversion formula for metaplectic Wigner distributions on Rd. Its discretization provides metaplectic Gabor frames.

Next, we deepen the understanding of the so-called shift-invertible metaplectic Wigner distributions, showing that they can be represented, up to chirps, as rescaled short-time Fourier transforms. As an application, we derive a new characterization of modulation and Wiener amalgam spaces. Thus, these metaplectic distributions (and related frames) provide meaningful definitions of local frequencies and can be used to measure effectively the local frequency content of signals.

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来源期刊
Applied and Computational Harmonic Analysis
Applied and Computational Harmonic Analysis 物理-物理:数学物理
CiteScore
5.40
自引率
4.00%
发文量
67
审稿时长
22.9 weeks
期刊介绍: Applied and Computational Harmonic Analysis (ACHA) is an interdisciplinary journal that publishes high-quality papers in all areas of mathematical sciences related to the applied and computational aspects of harmonic analysis, with special emphasis on innovative theoretical development, methods, and algorithms, for information processing, manipulation, understanding, and so forth. The objectives of the journal are to chronicle the important publications in the rapidly growing field of data representation and analysis, to stimulate research in relevant interdisciplinary areas, and to provide a common link among mathematical, physical, and life scientists, as well as engineers.
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