• DocumentCode
    3546950
  • Title

    Selective similarity function for VLSI analog signal processing

  • Author

    Madrenas, Jordi ; Fernández, Daniel ; Cosp, Jordi ; Alarcòn, Eduard ; Vidal, Eva ; Villar, Gerard

  • Author_Institution
    Dept. of Electron. Eng., Univ. Politecnica de Catalunya, Barcelona, Spain
  • fYear
    2005
  • fDate
    23-26 May 2005
  • Firstpage
    3926
  • Abstract
    The similarity calculation of two input voltages can be performed in the analog domain by means of a very compact current switch combined with a differential pair stage. Local feedforward of the current switch allows the circuit to work without the need of any external control ensuring at the same time very high selectivity. The current switch is analyzed by means of its large-signal model, since the first-order small-signal model is not enough to obtain insight into its behavior. The obtained peak cell circuit is applied to bioinspired gray-level image segmentation focal-plane processor. Other direct applications of the current switch are full-wave differential rectifiers and two-input maximum/minimum circuits.
  • Keywords
    VLSI; cellular neural nets; feedforward neural nets; focal planes; image segmentation; VLSI; analog signal processing; bioinspired focal-plane processor; compact current switch; differential pair stage; full-wave differential rectifiers; gray-level image segmentation; large-signal model; local feedforward; peak cell circuit; selective similarity function; two-input maximum/minimum circuits; Biomedical signal processing; Image segmentation; MOSFETs; Mirrors; Rectifiers; Signal processing; Switches; Switching circuits; Very large scale integration; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
  • Print_ISBN
    0-7803-8834-8
  • Type

    conf

  • DOI
    10.1109/ISCAS.2005.1465489
  • Filename
    1465489