Welcome to Journal of Beijing Institute of Technology
Yonggang Li, Chuan Zhang, Huafei Sun. Heisenberg Uncertainty Principle for n-Dimensional Linear Canonical TransformsJ. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2021, 30(3): 249-253. DOI: 10.15918/j.jbit1004-0579.2021.032
Citation: Yonggang Li, Chuan Zhang, Huafei Sun. Heisenberg Uncertainty Principle for n-Dimensional Linear Canonical TransformsJ. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2021, 30(3): 249-253. DOI: 10.15918/j.jbit1004-0579.2021.032

Heisenberg Uncertainty Principle for n-Dimensional Linear Canonical Transforms

  • The uncertainty principle proposed by German physicist Heisenberg in 1927 is a basic principle of quantum mechanics and signal processing. Since linear canonical transformation has been widely used in various fields of signal processing recently and Heisenberg uncertainty principle has been endowed with new expressive meaning in linear canonical transforms domain, in this manuscript, an improved Heisenberg uncertainty principle is obtained in linear canonical transforms domain.
  • loading

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return
    Baidu
    map