University of Maryland LibrariesDigital Repository at the University of Maryland
    • Login
    View Item 
    •   DRUM
    • A. James Clark School of Engineering
    • Institute for Systems Research Technical Reports
    • View Item
    •   DRUM
    • A. James Clark School of Engineering
    • Institute for Systems Research Technical Reports
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    An Accurate and Efficient Approach to Statistical Simulation for Large-Scale Analog Circuits

    Thumbnail
    View/Open
    TR_92-104.pdf (830.9Kb)
    No. of downloads: 328

    Date
    1992
    Author
    Chao, C-Y.
    Milor, Linda
    Metadata
    Show full item record
    Abstract
    A systematic approach to statistical simulation for large scale analog circuits is presented. The statistical model takes into account mismatch between devices due to variations in the process and noise, as well as interdie variations. The number of statistical parameters is O (n), where n is the number of devices. Additionally, because large-scale analog circuits are very computationally intensive to simulate, a two level approach is used, combining a behavioral model relating block performances to circuit performances and regression models relating a set of primary statistical variables to block performances. The efficiency of this approach to statistical simulation is demonstrated with the examples of an A/D converter.
    URI
    http://hdl.handle.net/1903/5285
    Collections
    • Institute for Systems Research Technical Reports

    DRUM is brought to you by the University of Maryland Libraries
    University of Maryland, College Park, MD 20742-7011 (301)314-1328.
    Please send us your comments.
    Web Accessibility
     

     

    Browse

    All of DRUMCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister
    Pages
    About DRUMAbout Download Statistics

    DRUM is brought to you by the University of Maryland Libraries
    University of Maryland, College Park, MD 20742-7011 (301)314-1328.
    Please send us your comments.
    Web Accessibility