Digital Signal Processing Acceleration

Digital Signal Processing Acceleration is a computational optimization technique that enhances the performance and efficiency of digital signal processing tasks through the strategic deployment of reconfigurable hardware resources tailored to exploit the data-level parallelism and temporal locality inherent in signal processing workloads.

152

Publications

9.7K

Citations

534

Authors

167

Institutions

Publications per year

2017–2026

37

Authors

534

  1. FL
    Frank L Vice

    University of Maryland, Baltimore, United States

    4 publications · 79 citations

    4

    h-index

  2. IH
    Ira H Gewolb

    University of Maryland, Baltimore, United States

    4 publications · 79 citations

    4

    h-index

  3. EW
    E. W. Reynolds

    University of Kentucky, United States

    4 publications · 79 citations

    4

    h-index

  4. NB
    Nader Bagherzadeh

    University of California, Irvine, United States

    3 publications · 74 citations

    3

    h-index

  5. CP
    Chengzhi Pan

    University of California, Irvine, United States

    3 publications · 74 citations

    3

    h-index

1–5 of 534

Venues

  1. 9

    h-index

  2. 8

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  3. IEEE Transactions on Consumer Electronics

    5 publications · 185 citations

    5

    h-index

  4. Developmental Medicine & Child Neurology

    DMCN · 4 publications · 79 citations

    4

    h-index

  5. 3

    h-index

1–5