Lossless Source Coding is a data compression method within information theory that belongs to the class of source coding techniques and is distinguished by its requirement to perfectly reconstruct the original source sequence without any distortion, ensuring the encoded representation retains all information present in the source.
299
Publications
13.4K
Citations
449
Authors
205
Institutions
Publications per year
2017–2026
28
Publications
299
1–5 of 299
Authors
449
- ME
12
h-index
- SV
12
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- TW
11
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- NM
9
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- VY
8
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1–5 of 449
Institutions
205
Princeton University
Princeton, United States
15 h-index
34 publications
1.7K citations
Stanford University
Stanford, United States
14 h-index
35 publications
1.7K citations
California Institute of Technology
Pasadena, United States
13 h-index
29 publications
805 citations
University of California, Berkeley
Berkeley, United States
13 h-index
27 publications
2K citations
Technion – Israel Institute of Technology
Haifa, Israel
12 h-index
20 publications
767 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
11 h-index
21 publications
2.9K citations
Massachusetts Institute of Technology
Cambridge, United States
9 h-index
16 publications
602 citations
University of Southern California
Los Angeles, United States
9 h-index
10 publications
305 citations
1–8 of 205
Venues
- IEEE Transactions on Information Theory
89 publications · 6.7K citations
42
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- IEEE Transactions on Communications
8 publications · 297 citations
9
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- IEEE Transactions on Image Processing
7 publications · 135 citations
7
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- IEEE Transactions on Signal Processing
6 publications · 276 citations
6
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- ArXiv.org
Repository · 5 publications · 70 citations
5
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