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...

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Bibliographic Details
Main Authors: Chang, Li, 張力
Other Authors: Wu, Jen-Ming
Format: Others
Language:en_US
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/99595198599397270245