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.
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Publications
22.9K
Citations
1.5K
Authors
541
Institutions
Publications per year
2017–2026
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Politecnico di Torino
Turin, Italy
10 h-index
27 publications
779 citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
25 publications
430 citations

Concordia University
Montreal, Canada
10 h-index
21 publications
875 citations

Universidade Federal de Pernambuco
Recife, Brazil
9 h-index
15 publications
643 citations
University of Southern California
Los Angeles, United States
9 h-index
15 publications
305 citations
Jet Propulsion Laboratory
Pasadena, United States
9 h-index
21 publications
516 citations
Hewlett-Packard (United States)
Palo Alto, United States
9 h-index
20 publications
7.3K citations
California Institute of Technology
Pasadena, United States
8 h-index
12 publications
445 citations
1–8 of 541
19 publications · 903 citations
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14 publications · 2.8K citations
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14 publications · 512 citations
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13 publications · 281 citations
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13 publications · 445 citations
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