Real-number Modeling

Real-Number Modeling is a formal modeling methodology in mixed-signal system design that represents signal behavior using continuous real-valued variables to distinguish it from discrete or quantized modeling approaches.

30

Publications

2K

Citations

61

Authors

37

Institutions

Publications per year

2017–2026

5

Variants

Rnm

Authors

61

  1. KM
    Klaus Meer

    RWTH Aachen University, Germany

    3 publications · 62 citations

    3

    h-index

  2. JR
    James Renegar

    Cornell University, United States

    3 publications · 951 citations

    3

    h-index

  3. WE
    Wolfgang Ecker

    Infineon Technologies (Germany), Germany

    2 publications · 27 citations

    2

    h-index

  4. NG
    Nikolaos Georgoulopoulos

    Aristotle University of Thessaloniki, Greece

    2 publications · 33 citations

    2

    h-index

  5. SH
    Steven Herbst

    Stanford University, United States

    1 publications · 15 citations

    1

    h-index

1–5 of 61

Venues

  1. Journal of Symbolic Computation

    3 publications · 951 citations

    3

    h-index

  2. Theoretical Computer Science

    3 publications · 45 citations

    3

    h-index

  3. Journal of Complexity

    2 publications · 89 citations

    2

    h-index

  4. Monthly Weather Review

    1 publications · 126 citations

    1

    h-index

  5. Electronic Notes in Theoretical Computer Science

    ENTCS · 1 publications · 26 citations

    1

    h-index

1–5