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# Sparse Binary Matrices of LDPC Codes for Compressed Sensing

@article{Lu2012SparseBM, title={Sparse Binary Matrices of LDPC Codes for Compressed Sensing}, author={Weizhi Lu and Kidiyo Kpalma and Joseph Ronsin}, journal={2012 Data Compression Conference}, year={2012}, pages={405-405} }

- Published 2012 in 2012 Data Compression Conference
DOI:10.1109/DCC.2012.60

We present the sparse binary matrix defined by low-density parity-check (LDPC) codes as measurement matrix in compressed sensing. This kind of matrix owns much stronger orthogonality than current other main measurement matrices. In practice, for a matrix given size, the optimal column degree for high orthogonality can also be determined by progressive edge-growth (PEG) algorithm.Â

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