Data Converter Modeling

Data Converter Modeling is a formal method for representing the dynamic behavior and performance characteristics of analog-to-digital and digital-to-analog converters within mixed-signal systems, distinguished by its integration of both continuous-time and discrete-event domain interactions to enable accurate simulation and analysis.

22

Publications

1.3K

Citations

48

Authors

23

Institutions

Publications per year

2017–2026

1

Authors

48

  1. GG
    Georges Gielen

    KU Leuven, Belgium

    3 publications · 98 citations

    3

    h-index

  2. TS
    T.M. Souders

    National Institute of Standards and Technology, United States

    2 publications · 32 citations

    2

    h-index

  3. EL
    E. Liu

    University of California, Berkeley, United States

    2 publications · 44 citations

    2

    h-index

  4. FM
    Franco Maloberti

    University of Pavia, Italy

    2 publications · 34 citations

    2

    h-index

  5. GN
    Gerard N. Stenbakken

    National Institute of Standards and Technology, United States

    2 publications · 32 citations

    2

    h-index

1–5 of 48

Venues

  1. 2

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  2. 1

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  3. Journal of Electronic Testing

    JETTA · 1 publications · 15 citations

    1

    h-index

  4. Choice Reviews Online

    CRO · 1 publications · 791 citations

    1

    h-index

  5. 1

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1–5