A −90-dBFS-IM <sub>3</sub> , −164-dBFS/Hz-NSD, 700-MHz-Bandwidth Continuous-Time Pipelined ADC With Digital Cancellation of DAC Errors
Bibliographic record
Abstract
This paper describes a continuous-time (CT) pipelined analog-to-digital converter (ADC) that represents a technology push along both—third-order distortion and noise—dimensions. Distortion is tackled using on-chip digital cancellation of static and timing digital-to-analog converter (DAC) mismatch errors. Low noise is achieved with design choices such as a resistive sub-DAC; a high-precision, on-chip, background-calibrated digital reconstruction filter (DRF); and a tunable LC lattice delay that allows a programmable sampling frequency. Implemented in a 16-nm FinFET process, the 6.4-GS/s prototype achieves an IM3 of −90 dBFS and a small-signal NSD of −164 dBFS/Hz over a 700-MHz bandwidth, while dissipating 703-mW power. Such performance makes it suitable for high-performance instrumentation and communications that demand robustness to large interferers while digitizing small signals.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".