Bandwidth efficient RS coding in asymmetric digital subscriber lines
Bibliographic record
Abstract
The ADSL standard is based on using hard decision decoding of Reed-Solomon (RS) codes. The standard states that as an option a four-dimensional 16-state trellis code can be concatenated with an RS code. The resulting structure is rather complex mainly because of the associated complexity of the Viterbi decoder of the trellis code. An alternative to this complex structure is to improve the performance when only RS codes are used. The performance of using only RS code is investigated for ADSL systems based on the discrete multitone (DMT) technique. To further improve the coding performance, we propose to use a bandwidth-efficient multilevel RS coding structure in ADSL DMT systems. The performance of the coded system under different stationary noise (AWGN and crosstalk) conditions is evaluated. The multilevel RS coding is shown to provide 1 to 2 dB additional coding gain improvements over conventional RS coding. It is also shown through simulation that using multi-dimensional QAM constellations can further improve the performance.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".