Skillget

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

mcp
Security Audit
Warn
Health Warn
  • No license — Repository has no license file
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 7 GitHub stars
Code Pass
  • Code scan — Scanned 6 files during light audit, no dangerous patterns found
Permissions Pass
  • Permissions — No dangerous permissions requested

No AI report is available for this listing yet.

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"]

Reviews (0)

No results found