A 2GHz voltage mode power scalable RF-Front-End with 2.5dB-NF and 0.5dBm-1dBCP
Bibliographic record
Abstract
The removal of the surface acoustic wave (SAW) filter in front of the receiver, in favour of less expensive and less filtering solutions, demands large input signals to be handled (sometimes above OdBm) without degrading the noise floor. Such requirements lead to an increment of power consumption in both the signal and the local oscillator (LO) paths. In the former, larger input compression points (CP) are typically obtained by limiting the voltage gain at RF with the use of current-passive mixer architectures followed by power hungry trans-impedance amplifiers (TIA) [1]–[5]. In the LO path, large input signals demand power hungry buffers (with phase noise (PN) even below -170dBc/Hz) to deal with reciprocal mixing phenomena [6].
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".