Discrete Linear Canonical Transform Based on Hyperdifferential Operators

被引:32
|
作者
Koc, Aykut [1 ]
Bartan, Burak [2 ]
Ozaktas, Haldun M. [3 ]
机构
[1] ASELSAN Res Ctr, TR-06000 Ankara, Turkey
[2] Stanford Univ, Elect Engn Dept, Stanford, CA 94305 USA
[3] Bilkent Univ, Elect Engn Dept, TR-06800 Ankara, Turkey
关键词
Linear canonical transform (LCT); fractional Fourier transform (FRT); operator theory; discrete transforms; hyperdifferential operators; FRACTIONAL FOURIER-TRANSFORMS; WIGNER DISTRIBUTION FUNCTION; DIGITAL COMPUTATION; FRESNEL TRANSFORM; FINITE NUMBERS; WAVE-FUNCTIONS; REPRESENTATION; ALGORITHM; EXTENSION; SIGNALS;
D O I
10.1109/TSP.2019.2903031
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Linear canonical transforms (LCTs) are of importance in many areas of science and engineering with many applications. Therefore, a satisfactory discrete implementation is of considerable interest. Although there are methods that link the samples of the input signal to the samples of the linear canonical transformed output signal, no widely-accepted definition of the discrete LCT has been established. We introduce a new approach to defining the discrete linear canonical transform (DLCT) by employing operator theory. Operators are abstract entities that can have both continuous and discrete concrete manifestations. Generating the continuous and discrete manifestations of LCTs from the same abstract operator framework allows us to define the continuous and discrete transforms in a structurally analogous manner. By utilizing hyperdifferential operators, we obtain a DLCT matrix, which is totally compatible with the theory of the discrete Fourier transform (DFT) and its dual and circulant structure, which makes further analytical manipulations and progress possible. The proposed DLCT is to the continuous LCT, what the DFT is to the continuous Fourier transform. The DLCT of the signal is obtained simply by multiplying the vector holding the samples of the input signal by the DLCT matrix.
引用
收藏
页码:2237 / 2248
页数:12
相关论文
共 50 条
  • [41] Offset Linear Canonical Stockwell Transform for Boehmians
    Kaur, Navneet
    Gupta, Bivek
    Verma, Amit K.
    Agarwal, Ravi P.
    MATHEMATICS, 2024, 12 (15)
  • [42] Uncertainty Principles for the Offset Linear Canonical Transform
    Huo, Haiye
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2019, 38 (01) : 395 - 406
  • [43] Convolution theorem for the windowed linear canonical transform
    Gao, Wen-Biao
    INTEGRAL TRANSFORMS AND SPECIAL FUNCTIONS, 2025, 36 (02) : 91 - 101
  • [44] Linear Canonical Stockwell Transform: Theory and Applications
    Wei, Deyun
    Zhang, Yijie
    Li, Yuan-Min
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2022, 70 : 1333 - 1347
  • [45] The spherical linear canonical transform: Definition and properties
    Zhao, Hui
    Li, Bing-Zhao
    OPTIK, 2023, 283
  • [46] The properties of generalized offset linear canonical Hilbert transform and its applications
    Xu, Shuiqing
    Feng, Li
    Chai, Yi
    Hu, Youqiang
    Huang, Lei
    INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2017, 15 (04)
  • [47] Operator theory-based discrete fractional Fourier transform
    Aykut Koç
    Signal, Image and Video Processing, 2019, 13 : 1461 - 1468
  • [48] Phase-retrieval-based attacks on linear-canonical-transform-based DRPE systems
    Guo, Changliang
    Muniraj, Inbarasan
    Sheridan, John T.
    APPLIED OPTICS, 2016, 55 (17) : 4720 - 4728
  • [49] Inversion of the windowed linear canonical transform with Riemann sums
    Han, Yaoyao
    Sun, Wenchang
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2022, 45 (11) : 6717 - 6738
  • [50] Uncertainty principles associated with the offset linear canonical transform
    Huo, Haiye
    Sun, Wenchang
    Xiao, Li
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2019, 42 (02) : 466 - 474