Low-power Signal Processing

Low-Power Signal Processing is a signal processing paradigm that belongs to the class of power-aware design methodologies, distinguished by its explicit optimization of computational algorithms and architectures to minimize energy consumption while maintaining acceptable signal fidelity and processing performance.

550

Publications

21.4K

Citations

1.7K

Authors

449

Institutions

Publications per year

2017–2026

112

Authors

1.7K

  1. AP
    Anantha P. Chandrakasan

    Massachusetts Institute of Technology, United States

    18 publications · 1.5K citations

    14

    h-index

  2. NR
    Naresh R. Shanbhag

    University of Illinois Urbana-Champaign, United States

    12 publications · 529 citations

    11

    h-index

  3. TA
    Tughrul Arslan

    University of Edinburgh, United Kingdom

    11 publications · 232 citations

    10

    h-index

  4. RJ
    Roozbeh Jafari

    The University of Texas at Dallas, United States

    6 publications · 105 citations

    6

    h-index

  5. PH
    P. Hasler

    Georgia Institute of Technology, United States

    6 publications · 135 citations

    6

    h-index

1–5 of 1.7K

Venues

  1. IEEE Journal of Solid-State Circuits

    26 publications · 2.1K citations

    22

    h-index

  2. 14

    h-index

  3. 14

    h-index

  4. 14

    h-index

  5. Electronics Letters

    13 publications · 2.5K citations

    12

    h-index

1–5