Algorithmic Noise

Algorithmic Noise is a computational method that generates or manipulates noise-based audio artifacts through procedural rules or mathematical processes, distinguishing itself from other noise generation techniques by its reliance on algorithmically defined structures rather than analog sources or random signal input.

29

Publications

1.5K

Citations

62

Authors

35

Institutions

Publications per year

2017–2026

4

Parents

Authors

62

  1. NR
    Naresh R. Shanbhag

    University of Illinois Urbana-Champaign, United States

    15 publications · 1.2K citations

    13

    h-index

  2. RH
    R. Hegde

    University of Illinois Urbana-Champaign, United States

    3 publications · 361 citations

    3

    h-index

  3. GV
    Girish V. Varatkar

    University of Illinois Urbana-Champaign, United States

    3 publications · 138 citations

    3

    h-index

  4. BS
    Byonghyo Shim

    Seoul National University, South Korea

    2 publications · 236 citations

    2

    h-index

  5. RA
    Rami A. Abdallah

    University of Illinois Urbana-Champaign, United States

    2 publications · 78 citations

    2

    h-index

1–5 of 62

Venues

  1. 4

    h-index

  2. IEEE Transactions on Signal Processing

    4 publications · 160 citations

    4

    h-index

  3. IEEE Internet of Things Journal

    1 publications · 23 citations

    1

    h-index

  4. International Journal of Systems Science

    1 publications · 23 citations

    1

    h-index

  5. 1

    h-index

1–5