Bibliographic record
Abstract
A dual-mode tunable Q-enhanced active filter is proposed and designed. The filter is capable of processing both 5 GHz narrowband (NB) and ultra wideband (UWB) services by switching mode dynamically. The design uses the mainstream 0.18 mum CMOS technology. In the UWB mode, the filter behaves as an LNA, however, when the NB interference is detected, the filter notches the NB frequency and provides gain for the UWB signals. Under this operation, the filter has an input matching of 10 dB, again of at least 5.6 dB, a narrowband rejection of 9.8 dB for a BW of 100 MHz and a 1 dB compression point of -15.1 dB. The filter performs better if it operates as a sole UWB LNA. In the NB mode, the filter is used for bandpass channel selection. It exhibits an input matching of 20.5 dB, a gain of 23 dB at 100 MHz BW, a noise figure of 7.1 dB and a 1 dB compression point of -26.8 dB. The circuit consumes less than 27 mW of power at 1.8 V supply. The design allows the same receiver front-end to provide both services while reducing system complexity and cost
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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 | 0.001 | 0.001 |
| 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".