Compressed sensing for error correction on real-valued vectors
Compressed sensing (CS) is a relatively new branch of mathematics with very interesting applications in signal processing, statistics and computer science. This thesis presents some theory of compressed sensing, which allows us to recover (high-dimensional) sparse vectors from (low-dimensional) comp...
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| Format: | Others |
| Language: | English |
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Linnéuniversitetet, Institutionen för matematik (MA)
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-85499 |