Signal Processing Acceleration

Signal Processing Acceleration is a hardware acceleration technique that specifically optimizes the execution of signal processing algorithms by leveraging specialized computational architectures to achieve superior performance, efficiency, or throughput compared to general-purpose processors.

144

Publications

12.5K

Citations

2.6K

Authors

425

Institutions

Publications per year

2017–2026

36

Authors

2.6K

  1. RL
    R.B. Lee

    Hewlett-Packard (United States), United States

    3 publications · 230 citations

    3

    h-index

  2. RS
    Renée St. Amant

    The University of Texas at Austin, United States

    2 publications · 215 citations

    2

    h-index

  3. SO
    S.J. Ovaska

    Helsinki Institute for Information Technology, Finland

    2 publications · 32 citations

    2

    h-index

  4. PA
    P. Andrew Penz

    Texas Instruments (United States), United States

    2 publications · 28 citations

    2

    h-index

  5. LK
    Lizy K. John

    The University of Texas at Austin, United States

    2 publications · 136 citations

    2

    h-index

1–5 of 2.6K

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 63 citations

    4

    h-index

  2. 3

    h-index

  3. IEEE Transactions on Signal Processing

    3 publications · 1.9K citations

    3

    h-index

  4. Sensors

    3 publications · 114 citations

    3

    h-index

  5. IEEE Micro

    3 publications · 493 citations

    3

    h-index

1–5