An integrated error control and DC-free code based on multimode coding
Bibliographic record
Abstract
Optical disk storage systems use both error control (EC) codes and dc-free constrained sequence (CS) codes in order to increase the reliability of the data read from the disk. We present a method of integrating these coding techniques in order to overcome drawbacks with the conventional manner in which these coding procedures are concatenated. Our technique is based on the principle of multimode coding. Each source word (SW) is represented by a set of complementary EC codewords (CWs), and from this set the encoder selects the EC CW that best meets the CS goals of the system. The decoding structure avoids the problem of error propagation during CS decoding by performing error correction before removing the effects of the CS code. Power spectra of encoded sequences generated by a hardware implementation have a null at 0 Hz, confirming that these coded sequences are dc-free. BER simulations demonstrate the superior performance of this combined EC and CS code on a dc-constrained noisy channel.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".