Publication | Closed Access
On the Spark of Binary LDPC Measurement Matrices From Complete Protographs
10
Citations
26
References
2017
Year
Graph SparsityComputational ScienceSparse RepresentationEngineeringData ScienceComplete ProtographMeasurement MatrixCompressive SensingSpectral AnalysisComputer EngineeringIterative DecodingSignal ReconstructionComputer ScienceUpper BoundSignal Processing
The spark is an important property that provides recovery guarantees of a measurement matrix in compressed sensing. In this letter, we focus on a specific class of measurement matrices, i.e., binary low-density parity-check (LDPC) matrices from complete protographs. An upper bound on the spark of a binary LDPC measurement matrix from complete protograph is provided. In addition, the spark of array-based LDPC measurement matrices with certain column weights is analyzed.
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