• DocumentCode
    1175519
  • Title

    Statistical analysis for practical circuit design

  • Author

    Balaban, Philip ; Golembeski, John J.

  • Volume
    22
  • Issue
    2
  • fYear
    1975
  • fDate
    2/1/1975 12:00:00 AM
  • Firstpage
    100
  • Lastpage
    108
  • Abstract
    Statistical analysis using the Monte Carlo method is shown to have significant value in the design of practical circuits. Three integrated circuit examples are described; a logic circuit with critical dc properties, a gate with stringent transient requirements, and a hybrid circuit which combines precise linear high-frequency and transient performance. Characterization and modeling problems are described in detail. A particular device family is described by deriving statistics for the parameters of a single nonlinear model, which is then used directly for dc and transient cases and can be linearized for ac applications. Parasitic elements are included for fast high-frequency applications. Complex performance criteria are derived in a post-processor in order that the results be expressed by figures of merit which are practically meaningful, such as noise immunity of a logic gate and operating margin of a digital repeater.
  • Keywords
    Bipolar integrated circuits, digital; Computer applications, circuit design; Computer-aided circuit analysis and design; Monte Carlo methods; Nonlinear networks; Semiconductor logic circuits; Circuit noise; Circuit synthesis; Logic circuits; Logic gates; Mathematics; Monte Carlo methods; Repeaters; Semiconductor device noise; Statistical analysis; Statistics;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-4094
  • Type

    jour

  • DOI
    10.1109/TCS.1975.1084010
  • Filename
    1084010