Improve generate_test_vectors() to use mixed SNR levels (high SNR for
first half, nominal for second half) ensuring a mix of converged and
non-converged test cases. Add gen_firmware_vectors.py converter that
reads test_vectors.json and produces packed LLR data matching the
RTL wishbone interface format (5 LLRs per 32-bit word, 6-bit two's
complement).
Generated 20 vectors: 11 converged, 9 non-converged.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add cn_mode ('offset'/'normalized') and alpha parameters to
min_sum_cn_update() in ldpc_sim.py and generic_decode() in
ldpc_analysis.py. Normalized mode scales magnitudes by alpha
(default 0.75) instead of subtracting a fixed offset, which
is better suited for low-rate codes.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Fixed cyclic shift convention (QC-LDPC P_s is left shift, not right)
- Fixed encoder to solve rows sequentially (row 0 first for p1, then 1-6)
- Fixed decoder to only gather connected columns per CN (staircase has dc=2-3)
- Fixed LLR sign convention: positive = bit 0 more likely
- Decoder validates at lam_s >= 4 photons/slot (~90% frame success)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
