1-V DTMOS-Based Class-AB Operational Amplifier: Implementation and Experimental Results
Bibliographic record
Abstract
In this paper, we describe a novel low-voltage class-AB operational amplifier (opamp) based on dynamic threshold voltage MOS transistors (DTMOS). A DTMOS transistor is a device whose gate is tied to its bulk. DTMOS transistor pseudo-pMOS differential input pairs are used for input common-mode range enhancement, followed by a single ended class-AB output. Two versions of the proposed opamp (opamp-A and opamp-B) were fabricated in a standard 0.18-mum CMOS process technology. Measurements under 5 pF and 10 kOmega load conditions gave, for opamp-A, a DC open-loop gain of 50.1 dB, and a unity gain bandwidth (GBW) of 26.2 MHz. A common-mode rejection ratio (CMRR) of 78 dB, and input and output swings of 0.7 V and 0.9 V, respectively, were achieved. Opamp-B has been optimized for biomedical applications, and is implemented to build the analog front-end part of a near-infrared spectroreflectometry (NIRS) receiver of a multi-wavelength wireless brain oxymeter apparatus. A DC open-loop gain of 53 dB, a GBW of 1.3 MHz, and input and output swings of 0.6 V and 0.8 V, respectively, were measured. Opamp-A consumes 550 muW with an input referred noise of 160 nV/radicHz at 1 kHz. Opamp-B consumes only 40 muW and exhibits a lower input referred noise of 107 nV/radicHz at 1 kHz
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".