Low-voltage CMOS circuits for analog iterative decoders
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Bibliographic record
Abstract
Iterative decoders, including Turbo decoders, provide near-optimal error protection for various communication channels and storage media. CMOS analog implementations of these decoders offer dramatic savings in complexity and power consumption, compared to digital architectures. Conventional CMOS analog decoders must have supply voltage greater than 1 V. A new low-voltage architecture is proposed which reduces the required supply voltage by at least 0.4 V. It is shown that the low-voltage architecture can be used to implement the general sum-product algorithm. The low-voltage analog architecture is then useful for implementing Turbo and low-density parity check decoders. The low-voltage architecture introduces new requirements for signal normalization, which are discussed. Measured results for two fabricated low-voltage analog decoders are also presented.
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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 | 0.001 | 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 | 0.000 | 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