Single-error Detection

Single-Error Detection is an error detection mechanism that belongs to the class of methods designed to identify the presence of exactly one error within a data unit, distinguished by its capability to detect but not correct single-bit errors in transmitted or stored information.

22

Publications

1.3K

Citations

47

Authors

29

Institutions

Publications per year

2017–2026

4

Authors

47

  1. IA
    Irina Alam

    University of California, Los Angeles, United States

    2 publications · 33 citations

    2

    h-index

  2. CS
    Clayton Schoeny

    University of California, Los Angeles, United States

    2 publications · 33 citations

    2

    h-index

  3. PG
    Puneet Gupta

    University of California, Los Angeles, United States

    2 publications · 33 citations

    2

    h-index

  4. MS
    Moshe Schwartz

    Ben-Gurion University of the Negev, Israel

    2 publications · 71 citations

    2

    h-index

  5. TE
    Tuvi Etzion

    Technion – Israel Institute of Technology, Israel

    2 publications · 35 citations

    2

    h-index

1–5 of 47

Venues

  1. IEEE Transactions on Information Theory

    6 publications · 167 citations

    6

    h-index

  2. IEEE Transactions on Reliability

    2 publications · 229 citations

    2

    h-index

  3. IEEE Transactions on Computers

    2 publications · 59 citations

    2

    h-index

  4. Journal of Surveying Engineering

    1 publications · 35 citations

    1

    h-index

  5. 1

    h-index

1–5