A 0.18μm CMOS 2.1GHz Sub-sampling Receiver Front End with Fully Integrated Second- and Fourth-Order Q-Enhanced Filters
Bibliographic record
Abstract
The implementation of a 0.18μm CMOS 2.1GHz sub-sampling receiver front end with fully integrated fourth-and second- order Q-enhanced LC filters is described. The use of an integrated fourth-order filter allows the amount of noise aliasing due to sub-sampling to be reduced and the bandwidth and roll-off factor to be independently controlled. When tuned to a high effective quality factor of 210, the front end has a measured bandwidth of 14MHz, a passband flatness of +/-0.4dB, a gain of 34dB and an input IP3 of -31.7dBm. The simulated noise figure of the front end is 7.12dB, which is lower than that of previously published sub-sampling front ends using off-chip inductors. The total power consumption of the front end is 28.5mA from a 1.8V 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".