Optimized Projection Matrix for Compressive Sensing
Compressive sensing (CS) is mainly concerned with low-coherence pairs, since the number of samples needed to recover the signal is proportional to the mutual coherence between projection matrix and sparsifying matrix. Until now, papers on CS always assume the projection matrix to be a random matrix....
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2010-01-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://dx.doi.org/10.1155/2010/560349 |