An Integrated Error Control and Constrained Sequence Code Based on Multimode Coding
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Bibliographic record
Abstract
We present a method of integrating constrained sequence (CS) and error control (EC) codes for digital communication systems. This technique is based on multimode coding where a single source word (SW) is represented by a set of complementary EC code words (CWs). From this set the encoder selects the CW that best meets the CS goals of the system. These goals are to have balanced transmission and a high number of transitions to aid in clock recovery. The decoding structure avoids the problem of CS error propagation by performing error correction before decoding the CS code. A hardware implementation was constructed to verify code operation and to measure the power spectral density (PSD) which is shown to match calculations. The PSD plots show that the encoded sequence has a null at 0 Hz and thus it is dc-free. Furthermore, BER simulations demonstrate the superior performance of this combined EC and CS code on a dc-constrained noisy channel.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it