A Time-Interleaved $\Delta\Sigma$-DAC Architecture Clocked at the Nyquist Rate
Bibliographic record
Abstract
This paper describes a delta-sigma (DeltaSigma) digital-to-analog converter (DAC) architecture that combines a polyphase decomposition of the interpolation filter and a time-interleaved error-feedback DeltaSigma modulator. Noise-shaped oversampling is achieved while clocking the digital circuitry at the Nyquist rate. The design of a third-order 4-bit modulator with eight times oversampling using the architecture is presented. Results from a prototype current-DAC driven by a VHDL simulation of the digital design at 2.66 GHz show that 56-dB linearity is achievable in 90-nm CMOS within a 1-V supply over a 155-MHz signal bandwidth making the architecture suitable for emerging ultra-wide-band and 60-GHz radio applications.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".