A current tuneable fully differential transconductor dedicated for filtering applications
Bibliographic record
Abstract
In this paper, a current tuneable fully differential transconductor cell (gm-C) dedicated for filtering applications is proposed. The architecture used for this new cell is based on a cross-coupled differential pairs input stage with folded cascode output stage in order to realise a high DC-gain integrator. This approach is preferred to the use of the negative resistance load (NRL) approach, since it is more stable and does not require another NRL circuit tuning when the overall transconductance of the cell is modified. Realisation techniques for a gm-C high-order continuous-time filter are also discussed which allow full programmability of the centre frequency and the quality factor of the filter. Finally, a design example of a 4th-order bandpass filter is presented with 3.3 V 0.35 /spl mu/m CMOS technology available through the Canadian Microelectronics Corporation (CMC).
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".