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LDPC code designs, constructions, and unification / Juane Li, University of California, Davis [and four others].

By: Li, Juane [author.].
Material type: materialTypeLabelBookPublisher: Cambridge : Cambridge University Press, 2017Description: 1 online resource (ix, 247 pages) : digital, PDF file(s).Content type: text Media type: computer Carrier type: online resourceISBN: 9781316780152 (ebook).Subject(s): Error-correcting codes (Information theory) | Coding theoryAdditional physical formats: Print version: : No titleDDC classification: 005.7/17 Online resources: Click here to access online Summary: Written by leading experts, this self-contained text provides systematic coverage of LDPC codes and their construction techniques, unifying both algebraic- and graph-based approaches into a single theoretical framework (the superposition construction). An algebraic method for constructing protograph LDPC codes is described, and entirely new codes and techniques are presented. These include a new class of LDPC codes with doubly quasi-cyclic structure, as well as algebraic methods for constructing spatially and globally coupled LDPC codes. Authoritative, yet written using accessible language, this text is essential reading for electrical engineers, computer scientists and mathematicians working in communications and information theory.
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Title from publisher's bibliographic system (viewed on 20 Dec 2016).

Written by leading experts, this self-contained text provides systematic coverage of LDPC codes and their construction techniques, unifying both algebraic- and graph-based approaches into a single theoretical framework (the superposition construction). An algebraic method for constructing protograph LDPC codes is described, and entirely new codes and techniques are presented. These include a new class of LDPC codes with doubly quasi-cyclic structure, as well as algebraic methods for constructing spatially and globally coupled LDPC codes. Authoritative, yet written using accessible language, this text is essential reading for electrical engineers, computer scientists and mathematicians working in communications and information theory.

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