• DocumentCode
    1256393
  • Title

    Structural sub-band decomposition of sequences and its applications in signal processing

  • Author

    Mitra, S.K. ; Heute, U.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
  • Volume
    146
  • Issue
    3
  • fYear
    1999
  • fDate
    6/1/1999 12:00:00 AM
  • Firstpage
    109
  • Lastpage
    123
  • Abstract
    The authors present a tutorial paper in which they review the concept of structural sub-band decomposition of sequences, a generalisation of polyphase decomposition. The idea of using a very simple analysis-synthesis structure allows for computational efficiency. It is applicable both for signals and for systems, which may thus be designed and realised advantageously. The use of such decomposition is shown, in terms of theory and applications, for transform-based spectral analysis, FIR filter design and implementation, and adaptive filtering. Advantages are demonstrated for cases of narrow-band signals and systems
  • Keywords
    FIR filters; adaptive filters; adaptive signal processing; filtering theory; image processing; sequences; signal synthesis; spectral analysis; transforms; FIR filter design; FIR filter implementation; adaptive filtering; analysis-synthesis structure; computational efficiency; image processing; narrow-band signals; narrow-band systems; polyphase decomposition; sequences; signal processing; structural sub-band decomposition; transform-based spectral analysis; tutorial;
  • fLanguage
    English
  • Journal_Title
    Vision, Image and Signal Processing, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-245X
  • Type

    jour

  • DOI
    10.1049/ip-vis:19990442
  • Filename
    799040