Resource-constrained Compression

Resource-Constrained Compression is a signal compression paradigm within biomedical engineering that specifically optimizes for limited computational, power, memory, or bandwidth resources inherent to wearable, implantable, or remote monitoring devices, distinguishing it from general compression techniques by prioritizing efficiency under strict hardware and energy constraints.

31

Publications

1.5K

Citations

107

Authors

49

Institutions

Publications per year

2017–2026

12

Authors

107

  1. NV
    Nikolaos Voros

    Technological Educational Institute of Western Greece, Greece

    2 publications · 35 citations

    2

    h-index

  2. FP
    Fabio Pareschi

    University of Bologna, Italy

    2 publications · 32 citations

    2

    h-index

  3. GS
    Gianluca Setti

    University of Bologna, Italy

    2 publications · 32 citations

    2

    h-index

  4. RR
    Riccardo Rovatti

    University of Bologna, Italy

    2 publications · 32 citations

    2

    h-index

  5. CA
    Christos Antonopoulos

    University of Patras, Greece

    2 publications · 35 citations

    2

    h-index

1–5 of 107

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 34 citations

    2

    h-index

  2. ACM Transactions on Graphics

    TOG · 1 publications · 23 citations

    1

    h-index

  3. IEEE Transactions on Computers

    1 publications · 230 citations

    1

    h-index

  4. 1

    h-index

  5. ACM Transactions on Sensor Networks

    1 publications · 183 citations

    1

    h-index

1–5