A Reducing Iteration Orthogonal Matching Pursuit Algorithm for Compressive Sensing
In recent years, Compressed Sensing (CS) has been a hot research topic. It has a wide range of applications, such as image processing and speech signal processing owing to its characteristic of removing redundant information by reducing the sampling rate. The disadvantage of CS is that the number of...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Tsinghua University Press
2016-02-01
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| Serie: | Tsinghua Science and Technology |
| Soggetti: | |
| Accesso online: | https://www.sciopen.com/article/10.1109/TST.2016.7399284 |
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