Compensation of delta-sigma modulators: stabilization, signal restoration and integrated circuits
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We propose novel architectures and techniques for the stabilization of continuous-time delta-sigma modulators, the on-line restoration of corrupted oversampled data, and the implementation of high speed delta-sigma modulators in complementary metal-oxide semiconductor integrated circuit technology. Specifically, the contributions of this work are threefold: (1) A novel architecture for the stabilization of continuous-time delta-sigma modulators of arbitrary order is proposed. The approach features a guarantee of stability under certain assumptions and accommodates quantizers incorporating any number of levels and dithering. An estimation method to predict long-term SNR performance of the stabilized delta-sigma modulator is provided. We show that first-order noise-shaping can be achieved. (2) New measures for the management of instability in delta-sigma modulation are proposed. Digital state estimation techniques based on observer theory adapted to delta-sigma modulation are developed and simulated. Restorative algorithms suitable for multiplier-free digital implementation are also provided and simulated. Significant SNR recoveries are shown to be possible. (3) A compensated fifth-order single-bit continuous-time delta-sigma modulator integrated circuit for analog-to-digital conversion is designed, laid-out, fabricated (in a 0.35-micron CMOS technology) and tested. The basic operation of our soft-resetting technique is demonstrated in steady-state. Nominal performance of 56-dB SNDR and 51-dB DR in a signal bandwidth from 100–500 kHz is achieved. The presence of a non-ideal do offset is discussed and a possible remedy is proposed. The main purpose of the IC is for demonstrating that advanced switching control techniques can be implemented in a practical fashion. The chip does not represent a contribution to the state-of-the-art in nominal SNDR and DR modulator performance.
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.
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 | 0.001 |
| 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 it