Rounding Modes

Rounding Modes is a computational framework in digital signal processing that specifies the rules for approximating numerical values to a finite precision, distinguishing itself by determining how fractional quantities are truncated or adjusted during arithmetic operations to minimize quantization error.

79

Publications

4.3K

Citations

212

Authors

108

Institutions

Publications per year

2017–2026

14

Authors

212

  1. TL
    T. Lang

    University of California, Irvine, United States

    4 publications · 86 citations

    4

    h-index

  2. CL
    Christoph Lauter

    École Normale Supérieure de Lyon, France

    3 publications · 86 citations

    3

    h-index

  3. MF
    Michael Flynn

    University of Manchester, United Kingdom

    3 publications · 82 citations

    3

    h-index

  4. JM
    Jean‐Michel Muller

    Centre National de la Recherche Scientifique, France

    3 publications · 124 citations

    3

    h-index

  5. PM
    Paolo Montuschi

    Politecnico di Torino, Italy

    3 publications · 74 citations

    3

    h-index

1–5 of 212

Venues

  1. IEEE Transactions on Computers

    6 publications · 280 citations

    6

    h-index

  2. 3

    h-index

  3. Clinical Nurse Specialist

    CNS · 2 publications · 88 citations

    2

    h-index

  4. Computer-Aided Design

    2 publications · 53 citations

    2

    h-index

  5. International Journal of Fatigue

    2 publications · 119 citations

    2

    h-index

1–5