Symplectic Analysis of Time-Frequency Spaces
Elena Cordero, Gianluca Giacchi

TL;DR
This paper introduces a symplectic perspective on time-frequency spaces, showing how metaplectic operators can represent classical time-frequency transforms and establishing conditions for these representations to characterize modulation and Wiener spaces.
Contribution
It demonstrates that shift-invertibility alone is insufficient for characterizing modulation spaces, requiring additional upper-triangularity conditions, and introduces new time-frequency representations for signal analysis.
Findings
Metaplectic operators can represent all classical time-frequency transforms.
Shift-invertibility alone does not suffice for modulation space characterization.
New families of time-frequency representations are proposed for signal decomposition.
Abstract
We present a different symplectic point of view in the definition of weighted modulation spaces and weighted Wiener amalgam spaces . All of the classical time-frequency representations, such as the short-time Fourier transform (STFT), the -Wigner distributions and the ambiguity function, can be written as metaplectic Wigner distributions , where is the metaplectic operator and is the associated symplectic matrix. Namely, time-frequency representations can be represented as images of metaplectic operators, which become the real protagonists of time-frequency analysis. In [E. Cordero and L. Rodino (2022) "Characterization of Modulation Spaces by symplectic representations and applications to Schr\"odinger equations", arXiv:2204.14124], the…
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Taxonomy
TopicsMathematical Analysis and Transform Methods
