A 4-Gbps POF Receiver Using Linear Equalizer With Multi-Shunt-Shunt Feedbacks in 65-nm CMOS
Bibliographic record
Abstract
This brief describes the design of a monolithic plastic optical fiber (POF) receiver with a pair of 250-by-250 μm N-well/P-sub photodetectors (PDs). A two-stage continuous-time linear equalizer that utilizes multiple active shunt-shunt feedback networks has been proposed to compensate for the slow-rolling-off high-frequency losses of the PDs. A test chip has been implemented in a standard 65-nm CMOS process, and it consists of a transimpedance amplifier, a variable-gain amplifier, a linear equalizer, a limiting amplifier, and an output buffer. The receiver consumes an active chip area of 0.24 mm2and a dc power of 46 mW (excluding auxiliary test circuits and the output buffer) from a 1-V power supply. The prototype POF receiver demonstrates a non-return-to-zero data rate of 4 Gbit/s with a bit error rate less than 10-12, at a peak-to-peak optical input power of - 3.2 dBm p-p (average input power is kept at -3 dBm).
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".