Design and switched-capacitor implementation of a new cascade-of-resonators Σ-Δ converter configuration
Bibliographic record
Abstract
Recently, the authors combined the hitherto cascade-of-integrators and cascade-of-resonators /spl Sigma/-/spl Delta/ converter configurations into a single cascade-of-resonators bandpass /spl Sigma/-/spl Delta/ converter. The salient features of the resulting bandpass /spl Sigma/-/spl Delta/ converter configuration is that it leads to the realization of complementary signal and noise transfer functions while permitting the automatic placement of the noise transfer function zeros at real frequencies (i.e. on the unit-circle in the discrete-time z domain). This /spl Sigma/-/spl Delta/ converter configuration consists of one single-bit quantizer and N second-order resonators (N second-order resonators and 1 integrator, respectively), leading to the realization of an even 2N-th (an odd (2N+1)-th, respectively) order bandpass /spl Sigma/-/spl Delta/ converter. This paper is concerned with an investigation and Monte-Carlo simulation of the proposed cascade-of-resonators bandpass /spl Sigma/-/spl Delta/ converter configuration satisfying a practical set of design specifications for a corresponding hardware implementation using the switched-capacitor technology.
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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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".