• DocumentCode
    1268959
  • Title

    New methods for computing interpolation and decimation using polyphase decomposition

  • Author

    Emami, Shahriar

  • Author_Institution
    GTDG/CGISS, Motorola Inc., Plantation, FL, USA
  • Volume
    42
  • Issue
    4
  • fYear
    1999
  • fDate
    11/1/1999 12:00:00 AM
  • Firstpage
    311
  • Lastpage
    314
  • Abstract
    There are many applications in communication systems where the sampling rate must be changed. Interpolators and decimators are utilized to increase or decrease the sampling rate. Computationally efficient implementation of interpolators and decimators employ polyphase decomposition. In this work, the authors present new methods for performing decimation or interpolations similar to the way numbers are multiplied on paper. Their proposed methods are easy to learn and compute and can be incorporated into digital signal processing (DSP) courses that deal with multirate filters
  • Keywords
    educational courses; filtering theory; filters; interpolation; signal processing; telecommunication engineering education; communication systems; decimation; digital signal processing courses; education; interpolation; multirate filters; polyphase decomposition; sampling rate; Digital filters; Digital signal processing; Image sampling; Interpolation; Low pass filters; Sampling methods; Signal sampling;
  • fLanguage
    English
  • Journal_Title
    Education, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9359
  • Type

    jour

  • DOI
    10.1109/13.804537
  • Filename
    804537