• DocumentCode
    1314965
  • Title

    Quantized Probability Circuit Design Principles Applied to Linear Circuits

  • Author

    Burns, R.C. ; Lawson, A.D.

  • Author_Institution
    Sperry Phoenix Company, Phoenix, Ariz.
  • Issue
    2
  • fYear
    1964
  • fDate
    6/1/1964 12:00:00 AM
  • Firstpage
    16
  • Lastpage
    28
  • Abstract
    A circuit design method for linear circuits is needed which will adequately predict circuit per formance as a function of component tolerances. This paper describes a method which weights the probable component variation from its nominal value into one of three groups; the group assignment depends on how seriously the component variation affects over-all performance This technique, identified as the quantized probability design (QPD) method, is compared with the absolute worst case (AWC), the Taylor worst case (TWC), and the uniform probability (UP) methods. The QPD procedure is given, based on the circuit performance equation. Two linear circuit applications are presented and analyzed whic show the effect each component will have on circuit performance. A comparison of design methods shows that the quantized probability design predicts less amplifier gain variation. Actual experience has shown that a closer correlation exists with the quantized probability design method, and therefore its use for linear circuits is recommended.
  • Keywords
    Circuit optimization; Circuit synthesis; Circuit testing; Design methodology; Economic forecasting; Integrated circuit yield; Linear circuits; Performance analysis; Resistors; Temperature distribution;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.1964.5214852
  • Filename
    5214852