Sparse Representation Compression
Sparse Representation Compression is a signal compression paradigm within biomedical signal processing that exploits the principle of sparsity by representing signals as linear combinations of a few atoms from an overcomplete dictionary, thereby enabling efficient data compression through the retention of only significant non-zero coefficients.
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30.3K
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2017–2026
185
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Sparse representations in unions of bases
Rémi Gribonval, Morten Nielsen · IEEE Transactions on Information Theory · 2003 · 977 citations · Full text
Jianwei Ma, Gerlind Plonka · IEEE Signal Processing Magazine · 2010 · 446 citations
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Tsinghua University
Beijing, China
16 h-index
43 publications
2.1K citations

Chinese Academy of Sciences
Beijing, China
13 h-index
56 publications
3.1K citations

Centre National de la Recherche Scientifique
Paris, France
13 h-index
22 publications
1.4K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
11 h-index
23 publications
626 citations
Nanyang Technological University
Singapore, Singapore
10 h-index
25 publications
1.6K citations
Stanford University
Stanford, United States
10 h-index
23 publications
1.6K citations
California Institute of Technology
Pasadena, United States
10 h-index
14 publications
1.3K citations
University of California, Berkeley
Berkeley, United States
10 h-index
22 publications
1K citations
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Repository · 20 publications · 689 citations
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