Multi-Gb/s Bit-by-Bit Receiver Architectures for 1-D Partial-Response Channels
Bibliographic record
Abstract
Low-complexity bit-by-bit detection techniques for 1-D partial-response channels are presented. First, a full-rate detection technique is presented which operates at 3.3 Gb/s consuming 40 mA from a 1.8-V supply with a sensitivity of 40-mV differential. The speed of the full-rate architecture is limited by the settling time of a latch circuit which has to be less than 1 UI. To eliminate this limitation, a novel demuxing technique is introduced. Using the proposed technique, a second architecture achieves 5 Gb/s data rate with the same sensitivity and consuming 62 mA (including output buffer) from 1.8-V supply. Both half-rate and full-rate architectures are also studied in 90-nm CMOS targeting chip-to-chip applications. The implemented full-rate architecture operates at 10 Gb/s consuming 32 mW, whereas the simulated half-rate architecture consumes 50 mW and operates at 16.67 Gb/s.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".