• DocumentCode
    1600392
  • Title

    Improving Translation Invariance by Complex Wavelet using Phase Information

  • Author

    Zhang, Zhong ; Toda, Hiroshi ; Miyake, Tetsuo ; Imamura, Takashi

  • Author_Institution
    Dept. of Production Syst. Eng., Toyohashi Univ. of Technol., Aichi
  • fYear
    2006
  • Firstpage
    3285
  • Lastpage
    3289
  • Abstract
    In this study, we examine the necessity for the complex discrete wavelet transform (CDWT) from the viewpoint that the signal´s position shifting corresponds to the signal´s phase change and discuss the effectiveness of the improved shift invariability of the CDWT based on linear translation invariant system theory. The results are: 1) the DWT is sensitive to the signal´s shift (the phase change) and correspondingly the wavelet coefficients change sharply as the signal shifts. On the other hand, the CDWT is insensitive to the signal´s phase change and the obtained wavelet coefficients are stable. 2) The output obtained by the CDWT is unique to the input signal having an arbitrary shift. That is, the CDWT system is not dependent on the position of the input signal and can be considered a linear translation invariant system
  • Keywords
    discrete wavelet transforms; signal processing; splines (mathematics); RI-spline; complex discrete wavelet transform; linear translation invariant system theory; phase information; signal processing; Algorithm design and analysis; Continuous wavelet transforms; Discrete wavelet transforms; Filters; Frequency; Multiresolution analysis; Production systems; Spline; Wavelet coefficients; Wavelet transforms; Complex Wavelet; Linear System; Shift Invariance; Wavelet Transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE-ICASE, 2006. International Joint Conference
  • Conference_Location
    Busan
  • Print_ISBN
    89-950038-4-7
  • Electronic_ISBN
    89-950038-5-5
  • Type

    conf

  • DOI
    10.1109/SICE.2006.314922
  • Filename
    4108324