A Novel Loss Compensation Technique for Broadband CMOS Distributed Amplifiers
Bibliographic record
Abstract
This paper presents a novel loss compensation technique, an active negative resistor produced by a capacitively source degenerated configuration, to improve the gain flatness and bandwidth of CMOS distributed amplifiers (DAs). This configuration provides the desired isolation from the transmission line at lower frequencies, and a frequency-increasing negative conductance that can fully compensate for the loss of the on-chip inductor over a broad frequency band. A 40 GHZ three-stage 0.13 mum CMOS DA is devised that outperforms previously published CMOS DAs by providing a large gain-bandwidth product of 200 GHz-dB with an improved gain-flatness of plusmn0.2 dB. The proposed loss compensated DA dissipates 24 mW from a 1.2 VDC supply
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".