• DocumentCode
    1544789
  • Title

    Hypercomplex signals-a novel extension of the analytic signal to the multidimensional case

  • Author

    Bulow, Thomas ; Sommer, Gerald

  • Author_Institution
    GRASP Lab., Pennsylvania Univ., Philadelphia, PA, USA
  • Volume
    49
  • Issue
    11
  • fYear
    2001
  • fDate
    11/1/2001 12:00:00 AM
  • Firstpage
    2844
  • Lastpage
    2852
  • Abstract
    The construction of Gabor´s (1946) complex signal-which is also known as the analytic signal-provides direct access to a real one-dimensional (1-D) signal´s local amplitude and phase. The complex signal is built from a real signal by adding its Hilbert transform-which is a phase-shifted version of the signal-as an imaginary part to the signal. Since its introduction, the complex signal has become an important tool in signal processing, with applications, for example, in narrowband communication. Different approaches to an n-D analytic or complex signal have been proposed in the past. We review these approaches and propose the hypercomplex signal as a novel extension of the complex signal to n-D. This extension leads to a new definition of local phase, which reveals information on the intrinsic dimensionality of the signal. The different approaches are unified by expressing all of them as combinations of the signal and its partial and total Hilbert transforms. Examples that clarify how the approaches differ in their definitions of local phase and amplitude are shown. An example is provided for the two-dimensional (2-D) hypercomplex signal, which shows how the novel phase concept can be used in texture segmentation
  • Keywords
    Hilbert transforms; image segmentation; image texture; multidimensional signal processing; 2D hypercomplex signals; Gabor´s complex signal; Hilbert transform; analytic signal; complex signal; multidimensional signal; narrowband communication; partial Hilbert transform; real 1D signal local amplitude; real 1D signal local phase; signal processing; texture segmentation; total Hilbert transform; Computer aided software engineering; Fourier transforms; Frequency; Gabor filters; Image processing; Multidimensional signal processing; Multidimensional systems; Narrowband; Signal analysis; Signal processing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.960432
  • Filename
    960432