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• W2018214963 abstract "In this letter, a new class of real-valued matrices is presented for deterministic compressed sensing. A base matrix is constructed by cyclic shifts of binary sequences in an optical orthogonal code (OOC). Then, a Hadamard matrix is used for its extension, which ultimately produces a real-valued matrix that takes the entries of 0, -1 and +1 before normalization. The new sensing matrix forms a tight frame with small coherence, which theoretically guarantees the average recovery performance of sparse signals with uniformly distributed supports. Several example sensing matrices are presented by employing a special type of OOCs obtained from modular Golomb rulers." @default.
• W2018214963 created "2016-06-24" @default.
• W2018214963 creator A5030100929 @default.
• W2018214963 creator A5054154402 @default.
• W2018214963 date "2013-11-01" @default.
• W2018214963 modified "2023-10-05" @default.
• W2018214963 title "Deterministic Construction of Real-Valued Ternary Sensing Matrices Using Optical Orthogonal Codes" @default.
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• W2018214963 doi "https://doi.org/10.1109/lsp.2013.2281597" @default.
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