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
Parents
550
1–5 of 550
1.7K
Massachusetts Institute of Technology, United States
18 publications · 1.5K citations
14
h-index
University of Illinois Urbana-Champaign, United States
12 publications · 529 citations
11
h-index
10
h-index
6
h-index
6
h-index
1–5 of 1.7K
449
Massachusetts Institute of Technology
Cambridge, United States
18 h-index
58 publications
3.9K citations
ETH Zurich
Zurich, Switzerland
13 h-index
31 publications
936 citations
University of Illinois Urbana-Champaign
Urbana, United States
13 h-index
29 publications
1.3K citations
Georgia Institute of Technology
Atlanta, United States
12 h-index
41 publications
1.1K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
11 h-index
36 publications
2.5K citations
University of California, Los Angeles
Los Angeles, United States
11 h-index
49 publications
1.2K citations

University of Edinburgh
Edinburgh, United Kingdom
10 h-index
20 publications
460 citations
University of California, Berkeley
Berkeley, United States
10 h-index
38 publications
2.3K citations
1–8 of 449
26 publications · 2.1K citations
22
h-index
15 publications · 1.2K citations
14
h-index
18 publications · 709 citations
14
h-index
18 publications · 370 citations
14
h-index
13 publications · 2.5K citations
12
h-index
1–5