Low-complexity Compression Algorithms

Low-Complexity Compression Algorithms is a class of signal compression techniques in biomedical signal processing that belong to the broader category of data compression algorithms, distinguished by their design to minimize computational resources and energy consumption while maintaining acceptable compression performance, making them particularly suitable for real-time and resource-constrained environments such as wearable and implantable medical devices.

560

Publications

22.9K

Citations

1.5K

Authors

541

Institutions

Publications per year

2017–2026

115

Authors

1.5K

  1. MS
    M.N.S. Swamy

    Concordia University, Canada

    9 publications · 399 citations

    9

    h-index

  2. KA
    Khan A. Wahid

    University of Saskatchewan, Canada

    6 publications · 207 citations

    6

    h-index

  3. EM
    Enrico Magli

    Politecnico di Torino, Italy

    6 publications · 252 citations

    6

    h-index

  4. RJ
    Renato J. Cintra

    Universidade Federal de Pernambuco, Brazil

    6 publications · 404 citations

    6

    h-index

  5. MO
    M. Omair Ahmad

    Concordia University, Canada

    6 publications · 335 citations

    6

    h-index

1–5 of 1.5K

Venues

  1. 17

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  2. IEEE Transactions on Image Processing

    14 publications · 2.8K citations

    13

    h-index

  3. Electronics Letters

    14 publications · 512 citations

    12

    h-index

  4. IEEE Transactions on Consumer Electronics

    13 publications · 281 citations

    11

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  5. 11

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1–5