LDPC codes are linear block codes whose parity-check matrix-as the name implies-is sparse. These codes can be iteratively decoded using the sum product [9] or equivalently the belief propagation [24] soft decision decoder. It has been shown, for example by Chung et al. [3], that for long block lengths, the performance of LDPC codes is close to the channel capacity. The theory of LDPC codes is related to a branch of mathematics called graph theory. Some basic definitions used in graph theory are briefly introduced as follows. Definition 12.1 (Vertex, Edge, Adjacent and Incident) A graph, denoted by G(V, E), consists of an ordered set of vertices and edges. • (Vertex) A vertex is commonly drawn as a node or a dot.
CITATION STYLE
Tomlinson, M., Tjhai, C. J., Ambroze, M. A., Ahmed, M., & Jibril, M. (2017). LDPC Codes (pp. 315–354). https://doi.org/10.1007/978-3-319-51103-0_12
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