• DocumentCode
    1180127
  • Title

    Computing large polynomial products using modular arithmetic

  • Author

    Skavantzos, Alexander ; Mitash, Nilay

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA
  • Volume
    39
  • Issue
    4
  • fYear
    1992
  • fDate
    4/1/1992 12:00:00 AM
  • Firstpage
    252
  • Lastpage
    254
  • Abstract
    The polynomial residue number system (PRNS) has been proven to be a system in which totally parallel polynomial multiplication can be achieved, provided that arithmetic takes place in some carefully chosen ring. However, such a system has a major limitation: the size of the ring used is proportional to the size of the polynomials to be multiplied. As a result, in order to multiply large polynomials in a fixed size ring, one must involve 2-D PRNS techniques. Such 2-D PRNS techniques are summarized
  • Keywords
    digital arithmetic; parallel processing; polynomials; 2D polynomial RNS techniques; PRNS; large polynomial products; modular arithmetic; parallel polynomial multiplication; polynomial residue number system; Arithmetic; Circuits; Digital signal processing; Polynomials; Sufficient conditions;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7130
  • Type

    jour

  • DOI
    10.1109/82.136577
  • Filename
    136577