Digital Signal Processing
Digital Signal Processing is a branch of engineering that focuses on the mathematical manipulation of discrete-time signals to extract, enhance, or modify information using computational algorithms and digital systems.
118.2K
Publications
6.3M
Citations
158K
Authors
11.8K
Institutions
Publications per year
2017–2026
23K
118.2K
A Mathematical Theory of Communication
Claude E. Shannon · Bell System Technical Journal · 1948 · 80.7K citations
1–5 of 118.2K
158K
École Polytechnique Fédérale de Lausanne, Switzerland
177 publications · 22.9K citations
67
h-index
66
h-index
66
h-index
66
h-index
California Institute of Technology, United States
199 publications · 16.8K citations
64
h-index
1–5 of 158K
11.8K
Stanford University
Stanford, United States
172 h-index
1.8K publications
312.4K citations
Massachusetts Institute of Technology
Cambridge, United States
152 h-index
1.8K publications
176.9K citations

Centre National de la Recherche Scientifique
Paris, France
127 h-index
3.6K publications
187.3K citations
Princeton University
Princeton, United States
114 h-index
1.1K publications
111K citations
AT&T (United States)
Bedminster, United States
112 h-index
1K publications
119.1K citations
University of Southern California
Los Angeles, United States
109 h-index
1.2K publications
106.6K citations
University of Illinois Urbana-Champaign
Urbana, United States
109 h-index
1.3K publications
105.1K citations

Rice University
Houston, United States
108 h-index
967 publications
106.9K citations
1–8 of 11.8K
5.5K publications · 471.3K citations
274
h-index
1.7K publications · 255.5K citations
194
h-index
1.4K publications · 179.1K citations
190
h-index
2.4K publications · 169.5K citations
178
h-index
590 publications · 133.6K citations
158
h-index
1–5