Delta-sigma modulator topologies for high-speed high-resolution A/D converters
Bibliographic record
Abstract
By fully exploiting the enhanced stability characteristics of multibit quantization, stable higher-order /spl Delta//spl Sigma/ modulators with finite-impulse-response (FIR) noise-transfer-functions (NTF) can be designed to achieve high signal-to-quantization-noise ratios at low oversampling ratios (OSR). This paper proposes a multibit /spl Delta//spl Sigma/ modulator topology to realize FIR NTFs of arbitrary orders. Its key features include: reduced sensitivity to integrator nonlinearities, improved robustness to /spl Delta//spl Sigma/ modulator coefficient variations, and decreased circuit complexity. Its performance is validated through simulations and compared to traditional /spl Delta//spl Sigma/ modulator structures. This paper further discusses how the design of the signal transfer function (the signal path within the /spl Delta//spl Sigma/ modulator) can significantly reduce the harmonic distortion due to opamp nonidealities in the modulator's loop filter and can help reduce the power dissipation, especially for high-speed high-resolution analog-to-digital converters (ADC) designed in low-voltage fine-line technologies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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".