genpark-ldpc-tanner-graph-belief-propagation-skill

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Guvenlik Denetimi
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SUMMARY

Low-Density Parity-Check (LDPC) Tanner graph belief propagation decoder with sum-product LLR message passing

README.md

genpark-ldpc-tanner-graph-belief-propagation-skill

Agent Skill implementing Low-Density Parity-Check (LDPC) Tanner Graph Belief Propagation, using iterative sum-product Log-Likelihood Ratio (LLR) message passing between variable and check nodes.

Architectural Overview

flowchart TD
    LLR["Initial Channel LLRs"] --> VtoC["Variable-to-Check Messages"]
    VtoC --> Check["Check Node Updates: Tanh Product Rule"]
    Check --> CtoV["Check-to-Variable Messages"]
    CtoV --> Total["Accumulate Total Marginal LLRs"]
    Total --> Hard["Hard Decision: Bit = (LLR < 0 ? 1 : 0)"]
    Hard --> SynCheck{"H * x == 0 ?"}
    SynCheck -- Yes --> Converged["Valid Codeword Recovered"]
    SynCheck -- No --> Loop["Next Iteration"]

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