Short-time free metaplectic transform: Its relation to short-time Fourier transform in L2(Rn) and uncertainty principles

被引:3
|
作者
Dar, Aamir H. [1 ]
Zayed, Mohra [2 ]
Bhat, M. Younus [1 ]
机构
[1] Islamic Univ Sci & Technol, Dept Math Sci, Kashmir 192122, India
[2] King Khalid Univ, Coll Sci, Math Dept, Abha 61413, Saudi Arabia
来源
AIMS MATHEMATICS | 2023年 / 8卷 / 12期
关键词
short-time free metaplectic transform; Moyal's formula; uncertainty principle; Nazarov's UP; Hardy's UP; Logarithmic's UP; LINEAR CANONICAL TRANSFORM;
D O I
10.3934/math.20231483
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The free metaplectic transformation (FMT) has gained much popularity in recent times because of its various applications 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 (ST-FMT). In this paper, we investigate the ST-FMT. First we propose the definition of the ST-FMT and provide the time-frequency analysis of the proposed transform in the FMT domain. Second we establish the relationship between the ST-FMT and short-time Fourier transform (STFT) in L2(Rn) and investigate the basic properties of the proposed transform including the reconstruction formula, Moyal's formula. The emergence of the ST-FMT definition and its properties broadens the development of time-frequency representation of higher-dimensional signals theory to a certain extent. We extend some different uncertainty principles (UPs) from quantum mechanics including Lieb's inequality, Pitt's inequality, Hausdorff-Young inequality, Heisenberg's UP, Hardy's UP, Beurling's UP, Logarithmic UP and Nazarov's UP. Finally, we give a numerical example and a possible applications of the proposed ST-FMT.
引用
收藏
页码:28951 / 28975
页数:25
相关论文
共 50 条
  • [21] Inversion formulas for the short-time Fourier transform
    Feichtinger, Hans G.
    Weisz, Ferenc
    JOURNAL OF GEOMETRIC ANALYSIS, 2006, 16 (03) : 507 - 521
  • [22] Directional Short-Time Fourier Transform of Ultradistributions
    Sanja Atanasova
    Snježana Maksimović
    Stevan Pilipović
    Bulletin of the Malaysian Mathematical Sciences Society, 2021, 44 : 3069 - 3087
  • [23] Staggered parallel short-time Fourier transform
    Labao, Alfonso B.
    Camaclang, Rodolfo C., III
    Caro, Jaime D. L.
    DIGITAL SIGNAL PROCESSING, 2019, 93 : 70 - 86
  • [24] Directional short-time Fourier transform of distributions
    Katerina Hadzi-Velkova Saneva
    Sanja Atanasova
    Journal of Inequalities and Applications, 2016
  • [25] Sampling Trajectories for the Short-Time Fourier Transform
    Michael Speckbacher
    Journal of Fourier Analysis and Applications, 2022, 28
  • [26] Directional short-time Fourier transform of distributions
    Saneva, Katerina Hadzi-Velkova
    Atanasova, Sanja
    JOURNAL OF INEQUALITIES AND APPLICATIONS, 2016,
  • [27] The logarithmic, Heisenberg's and short-time uncertainty principles associated with fractional Fourier transform
    Xu Guanlei
    Wang Xiaotong
    Xu Xiaogang
    SIGNAL PROCESSING, 2009, 89 (03) : 339 - 343
  • [28] Directional Short-Time Fourier Transform of Ultradistributions
    Atanasova, Sanja
    Maksimovic, Snjezana
    Pilipovic, Stevan
    BULLETIN OF THE MALAYSIAN MATHEMATICAL SCIENCES SOCIETY, 2021, 44 (05) : 3069 - 3087
  • [29] Sliding Short-Time Fractional Fourier Transform
    Huang, Gaowa
    Zhang, Feng
    Tao, Ran
    IEEE SIGNAL PROCESSING LETTERS, 2022, 29 : 1823 - 1827
  • [30] Inversion formulas for the short-time Fourier transform
    Hans G. Feichtinger
    Ferenc Weisz
    The Journal of Geometric Analysis, 2006, 16 : 507 - 521