A 1 V Low-Power Low-Noise DTMOS Based-Class AB Opamp
Bibliographic record
Abstract
In this paper, the authors described a novel class AB opamp based on dynamic threshold voltage transistors (DTMOS) for low voltage (1-V), low power and low noise applications. The opamp is used to build the front-end receiver part of a near infrared spectroreflectometry (NIRS) device. The opamp has a two-stage configuration; DTMOS pseudo pMOS differential input pairs are used for input common-mode range enhancement, followed by a single ended class AB output. Experimental measurements from previous designs confirm the usage of a DTMOS device to build a 1-V opamp, using standard 0.18-/spl mu/m CMOS technology. The performed post-layout simulation results show an input referred noise of 107 nV//spl radic/Hz at 1 kHz, and a power consumption of 33.1 /spl mu/W under 5 pF and 10 k/spl Omega/ loads. The dc open loop gain is 60 dB, and a unity frequency of 2.73 MHz. The opamp has a CMRR of 100 dB, and input and output swings of 0.6 V and 0.8 V respectively.
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".