A current-mirror opamp with switchable transconductances for low-power switched-capacitor integrators
Bibliographic record
Abstract
In a switched-capacitor (SC) integrator, the opamp can be switched off during the sampling phase, to reduce the power dissipation. This paper proposes a switchable-opamp technique based on a current-mirror opamp with switchable transconductances. Whereas previous switchable-opamp methods can only be used in SC integrators with half delay, the proposed technique can be utilized in SC integrators with both half delay, and full delay. Furthermore, no special common-mode feedback (CMFB) circuits are required for the opamp. At high sampling frequencies, circuit simulations of SC integrators and discrete-time ΔΣ modulators demonstrate that power reductions of 30% can be achieved by using the proposed technique, with minimal effect on the gain error of the SC integrator and the SNDR of the ΔΣ modulator. This confirms that the proposed switchable-opamp technique does not limit the speed of the SC circuit.
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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 | 0.001 |
| 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".