genpark-viterbi-convolutional-decoder-skill

mcp
Guvenlik Denetimi
Uyari
Health Uyari
  • 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 Gecti
  • Code scan — Scanned 6 files during light audit, no dangerous patterns found
Permissions Gecti
  • Permissions — No dangerous permissions requested

Bu listing icin henuz AI raporu yok.

SUMMARY

Rate 1/2 constraint-length 3 convolutional encoder and Viterbi trellis maximum-likelihood path decoder

README.md

genpark-viterbi-convolutional-decoder-skill

Agent Skill implementing the Viterbi Trellis Algorithm for maximum-likelihood decoding of rate 1/2 constraint-length $K=3$ convolutional codes over noisy communication channels.

Architectural Overview

flowchart TD
    Input["Noisy Symbol Pairs (r1, r2)"] --> Trellis["Construct 4-State Trellis Diagram"]
    Trellis --> Branch["Calculate Branch Metrics (Hamming Distance)"]
    Branch --> ACS["Add-Compare-Select State Path Metrics"]
    ACS --> Prune["Prune Suboptimal Survivor Paths"]
    Prune --> Backtrack["Backtrack Minimum-Metric Path"]
    Backtrack --> Decoded["Recovered Source Bitstream"]

Yorumlar (0)

Sonuc bulunamadi