Robust Sparsity Updating Subspace Pursuit with Sparsity Estimation for Compressive Sensing Reconstruction
碩士 === 國立清華大學 === 通訊工程研究所 === 103 === Compared with traditional data acquisition, compressive sensing can reconstruct signal from far fewer samples than the traditional method. One of the critical problem is to reconstruct the original signal from the compressed measurement. There are many popular r...
Main Authors: | Chang, Li, 張力 |
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Other Authors: | Wu, Jen-Ming |
Format: | Others |
Language: | en_US |
Published: |
2014
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Online Access: | http://ndltd.ncl.edu.tw/handle/99595198599397270245 |
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