Low power, low voltage, 10bit-50MSPS pipeline ADC dedicated for front-end ultrasonic receivers
Bibliographic record
Abstract
This paper concerns the design and the implementation of a low power, low voltage 10bit-50MS/s pipeline analog to digital converter (ADC) dedicated to ultrasonic receivers. The ADC is used in the front-end stage to convert the signals coming from the time gain compensator (TGC) of the handheld ultrasonic apparatus. The proposed architecture is based on 1.5 bits per stage pipeline structure followed by a digital offset compensation to relax the constraints on the analog circuitry. The converter is implemented in digital CMOS 0.18 /spl mu/m technology, the circuit occupies an active area of 1.2 mm/sup 2/, the input differential voltage dynamic range is chosen to be 1.6 Vpp and the power consumption is found to be 31 mW from 1.8 V supply.
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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 | 0.001 |
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 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".