Optimization of LDPC Codes Using Convex Relaxation

نویسنده

  • Kiran R. Joshi
چکیده

• low density parity check (LDPC) codes are error correction codes • represented by two probability distributions λ and ρ • desired properties: – high code rate r ∈ R+ → fraction of redundancy present in the code – high noise threshold g ∈ R+ → the largest noise up to which the original code can be reconstructed from its noisy version without any loss of information • LDPC codes can be decoded by belief propagation (BP) algorithm

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تاریخ انتشار 2011