• DocumentCode
    2327512
  • Title

    CPCA: a multiplierless neural PCA

  • Author

    Dogaru, Radu ; Dogaru, Ioana ; Glesner, Manfred

  • Author_Institution
    Dept. of Appl. Electron. & Information Eng., Bucharest Polytech Univ., Romania
  • Volume
    4
  • fYear
    2004
  • fDate
    25-29 July 2004
  • Firstpage
    2689
  • Abstract
    A multiplier-less neural architecture for PCA is proposed. The aim is to reduce the VLSI complexity of its implementation by eliminating the multipliers. Comparisons with standard PCA methods show no degradation in performances (in most cases they are even improved) while the reduced hardware complexity allows for efficient low power implementations.
  • Keywords
    VLSI; principal component analysis; CPCA; VLSI complexity; multiplierless neural PCA; Degradation; Discrete cosine transforms; Electronic mail; Hardware; Information processing; Microelectronics; Neurons; Principal component analysis; Ubiquitous computing; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-8359-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2004.1381075
  • Filename
    1381075
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2327512