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Electrical Engineering and Systems Science > Signal Processing

arXiv:2204.07048 (eess)
[Submitted on 24 Mar 2022]

Title:Uncertainty Principles for the Short-time Free Metaplectic Transform

Authors:M. Younus Bhat, Aamir H. Dar
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Abstract:The free metaplectic transformation (FMT) has gained much popularity in recent times because of its various application in signal processing, paraxial optical systems, digital algorithms, optical encryption and so on. However, the FMT is inadequate for localized analysis of non-transient signals, as such, it is imperative to introduce a unique localized transform coined as the short time free metaplectic transform (STFMT). In this paper, we investigate the STFMT. Firstly, we propose the definition of the STFMT, and provide the time frequency analysis of the proposed transform in the FMT domain. Secondly, we investigate the basic properties of the proposed transform including the reconstruction formula, Moyals formula. The emergence of the STFMT definition and its properties broadens the development of time-frequency representation of higher-dimensional signals theory to a certain extent. Finally, we extend some different uncertainty principles (UP) from quantum mechanics including Liebs, Pitts UP, Heisenbergs uncertainty principle, Hausdorff-Young, Hardys UP, Beurlings UP, Logarithmic UP, and Nazarovs UP which have already been well studied in the FMT domain
Subjects: Signal Processing (eess.SP); Information Theory (cs.IT)
Cite as: arXiv:2204.07048 [eess.SP]
  (or arXiv:2204.07048v1 [eess.SP] for this version)
  https://doi.org/10.48550/arXiv.2204.07048

Submission history

From: Mohammad Younus Bhat [view email]
[v1] Thu, 24 Mar 2022 03:53:37 UTC (14 KB)
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