Preweighted Linearized VCO Analog-to-Digital Converter
Bibliographic record
Abstract
A linearization technique of voltage-to-frequency characteristics of voltage-controlled oscillator (VCO) analog-to-digital converters (ADCs) is presented. In contrast to previous works, the proposed technique is an open-loop calibration-free configuration, so it can operate at higher frequencies. It is also independent of the delay element structure, so it can be applied to various VCO ADC topologies. The analog input signal is first mapped through a preweighted resistor network in which every delay element experiences a different version of the input and produces the corresponding delay. As a result, the proposed approach suppresses the impact of V/F nonlinearity on the ADC performance by expanding a linear region of the transfer curve over the full rail-to-rail input. This technique shows substantial improvement results by keeping nonlinearity within ±0.5% over the full input scale (dBFS) and achieves a peak signal-to-noise and distortion ratio (SNDR) of 75.7 and 60.4 dB for input of -8 and 0 dBFS, respectively.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".