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Adaptive reweighted compressed sensing for image compression
2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2014According to the compressed sensing (CS) theory, a signal that is sparse in a certain domain can be nearly exactly recovered from a few measurements where the sampling rate is lower than the Nyquist rate. This theory has been successfully applied to the image compression in the past few years as most image signals are highly sparse.
Shuyuan Zhu +2 more
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To compress or not to compress: A compressed debate
Journal of the American College of Radiology, 2004Eliot L, Siegel, Ramin, Khorasani
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Compressed Membership in Automata with Compressed Labels
2011The algorithmic problem of whether a compressed string is accepted by a (nondeterministic) finite state automaton with compressed transition labels is investigated. For string compression, straight-line programs (SLPs), i.e., contextfree grammars that generate exactly one string, are used. Two algorithms for this problem are presented.
Markus Lohrey, Christian Mathissen
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TO COMPRESS OR NOT TO COMPRESS—THAT IS THE QUESTION
International Journal of Dermatology, 1979J A, Witkowski, L C, Parish
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Emerging hemostatic materials for non-compressible hemorrhage control
National Science Review, 2022Baolin Guo, Ruonan Dong, Guo Baolin
exaly
To Compress or Not to Compress; That Is the Question
The American Journal of Cardiology, 2012openaire +2 more sources
Highly Compressible and All‐Solid‐State Supercapacitors Based on Nanostructured Composite Sponge
Advanced Materials, 2015Weiya Zhou, Jun Chen, Zhiqiang Niu
exaly