A 3.6 GHz tunable CMOS bandpass filter using Q-enhanced circuit
Bibliographic record
Abstract
A front-end CMOS bandpass filter is proposed for applications of 3.6 GHz RF wireless receivers. In the proposed filter, the Q-enhancement technique is used to overcome low-Q characteristics of CMOS on-chip inductors. A 6th order bandpass filter with a wide pass band and a high image rejection was built by cascading three stages of 2nd order Q-enhanced filters. An experimental chip designed by standard 0.18 /spl mu/m CMOS technology occupies an area of 900/spl times/900 /spl mu/m/sup 2/. Post-layout simulation results show a high performance filter: a tunable Q from 25 to 50, a tunable center frequency from 3.53 GHz to 3.67 GHz, an image-rejection of 60 dB, a 30 dB voltage gain, a 10 dB noise figure, an output 1 dB compression point of -32 dBm with a -15 dBm third-order input intercept point while consuming a 120 mW of power.
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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) | 0.002 | 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".