Bibliographic record
Abstract
An automatically tuned 2 GHz 0.18 mum CMOS 3-stage RF filter is presented. The bandpass filter achieves center frequency tuning while maintaining a relatively flat passband. Q-enhanced resonators allow for more than 28 dB of insertion loss compensation in the Alter response. Measured results show that the filter is tunable in frequency by 32.5%, has a 14.7 dB noise figure, a -3.9 dBm 1dB input compression point, a +5.1 dBm IIP3 intercept, and consumes 21 mA from a 1.8 V supply. Automatic tuning of the multistage filter is performed by over-enhancing each stage of the filter until oscillation occurs to set resonant frequency and then backing off the enhancement using a passive Q tuning method, which does not effect the resonant frequency. Automatic frequency and quality factor tuning control were performed using digital logic synthesized in an FPGA. The hardware in-situ automatic tuning of the multi-pole integrated filter eliminates the need for a replica filter.
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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) | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".