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Subject: Compressed sensing Subject: Random matrix Subject: Restricted isometry property Item type: Thesis Collections: Graduate Studies and Research, Faculty of/Theses and Dissertations Supervisors: Han, Bin (Mathematical and Statistical Sciences) Supervisors: Wong, Yau S (Mathematical and Statistical Sciences)
The Strong Restricted Isometry Property of Sub-Gaussian Matrices and the Erasure Robustness Property of Gaussian Random FramesDownload
In this thesis we will study the robustness property of sub-gaussian random matrices. We first show that the nearly isometry property will still hold with high probability if we erase a certain portion of rows from a sub-gaussian matrix, and we will estimate the erasure ratio with a given small...
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