• DocumentCode
    3278791
  • Title

    A new transform for chirp detection

  • Author

    Li, Xiumei ; Bi, Guoan

  • Author_Institution
    Sch. of EEE, Nanyang Technol. Univ., Singapore
  • fYear
    2008
  • fDate
    7-10 Dec. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents the combination of the local polynomial Fourier transform and the Hough transform to detect chirp signals. By considering the improvement on the signal to noise ratio, the performance of the proposed combination can achieve significant performance improvement compared to the Wigner-Hough transform. Simulation results are also presented to show desirable performance particularly when the signal is distorted by heavy noises.
  • Keywords
    Fourier transforms; Hough transforms; polynomials; signal detection; Hough transform; chirp signal detection; local polynomial Fourier transform; signal-to-noise ratio; Bismuth; Chirp; Fourier transforms; Information theory; Polynomials; Radar detection; Signal detection; Signal to noise ratio; Sonar detection; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Its Applications, 2008. ISITA 2008. International Symposium on
  • Conference_Location
    Auckland
  • Print_ISBN
    978-1-4244-2068-1
  • Electronic_ISBN
    978-1-4244-2069-8
  • Type

    conf

  • DOI
    10.1109/ISITA.2008.4895439
  • Filename
    4895439