Highly linear, tunable, pseudo differential transconductor circuit for the design of Gm-C filters
Bibliographic record
Abstract
This paper describes the circuit level implementation of a transconductor cell that is intended to be used in open loop configuration for the design of Gm-C filters in CMOS technology. The circuit uses a fixed transconductor cascaded with a variable gain stage. The fixed transconductor is highly linear for a wide input signal swing that is close to the rails. The variable gain stage is constructed using a current mode translinear circuit. The cell is tunable to enable compensation for process, temperature, and voltage variations and to enable the adjustment of the overall filter's characteristics. The transconductor cell was designed in 0.35 /spl mu/m TSMC CMOS technology and it is intended to operate from a 2 V supply. The physical design was carried out for several cells with different transconductance. The test chip has been fabricated and it is currently under testing.
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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) | 0.001 | 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".