Baseband trellis coded modulation with combined equalization/decoding for high bit rate digital subscriber loops
Bibliographic record
Abstract
Presents a simulation-based study evaluating the performance of trellis-coded modulation with combined code/ISI (intersymbol interference) sequence estimation for high-bit-rate (800-kb/s) transmission on subscriber loops. The receiver contains the fractionally spaced forward filter of a decision feedback equalizer as a front end; this is shown to suppress phase-synchronized crosstalk very effectively. It is observed that trellis codes with large numbers of states are needed to obtain reasonable coding gain on a channel with severe ISI, such as a DSL (digital subscriber loop). Coded modulation along with a reduced-complexity sequence estimator (combined equalization and decoding with fewer states) can improve the transmission range of the high-bit-rate DSL system. The results indicate that achieving high-bit-rate transmission on the worst case CSA (carrier serving area) loops with 12-dB noise margin under stationary interference conditions is not possible, while loops longer than the CSA limit can be covered under cyclostationary interference.>
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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 | 0.002 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".