gunnchOS
Oulu preparation · STAGING_WORKER
Independent portfolio lab for information theory and channel coding preparation.
Independent readiness lab. This page is not a University of Oulu affiliation and it is not a live Oulu testbed.
Evidence class: REFERENCE_IMPLEMENTATION. The selector lists calculated reference rows. LDPC and polar files are stubs, not a measured channel.
# gunnchOS Information Theory & Channel Coding Lab > This repo is part of the **gunnchOS wireless engineering spine**: hands-on labs that strengthen the technical foundation behind 7GC, AI-RAN, RF, DSP, MIMO, measurement, and **6G PhD readiness** for target wireless communications engineering programs. Not affiliated with any university.
Research and teaching lab for **target wireless communications engineering programs**-aligned skills — built as an independent portfolio project.
Entropy, capacity, and introductory channel coding for wireless links.
Methods are entropy, bsc_capacity, and hamming74_encode in src/gunnchos_info_theory. The only numeric result text is results/tables/channel_summary.md: H fair coin=1.000 and BSC p=0.1 C=0.531. LDPC and polar files are stubs. This is a calculated reference, not a measured coded link.
Native research runtimes stay on a local checkout. This page shows repository records only.
results/experiment_summary.mdresults/figures/ber_curves.pngresults/figures/capacity_curves.pngresults/tables/channel_summary.mdpaper/draft.mdpaper/experiments.mdpaper/figures_needed.mddocs/PORTFOLIO_LINKS.mddocs/TARGET_PROGRAM_ALIGNMENT.mddocs/diagrams/README.mddocs/learning_notes.mdPinned source fe82a927ce54d8d81bf2a9eb5232a08431832a68
Independent portfolio lab for information theory and channel coding preparation.
The research code is not executing here. This is a research surface.
It gives this repository a public web surface inside the gunnchOS ecosystem without pretending the original runtime runs on Cloudflare Workers.
Use the primary action to inspect repository records, then open the source for the local toolchain.
STAGING_WORKER
Runtime mode on this page: PRECOMPUTED. No remote model call is made.