Energy Efficient Generic Demodulator for High Data Transmission Rate Over an Inductive Link for Implantable Devices
Bibliographic record
Abstract
In this paper, we present a new Carrier Width Modulation (CWM) scheme for simultaneous transfer of power and data over a single inductive link. An ultra-low power CWM demodulator is also proposed. Unlike conventional demodulators for a similar modulation scheme, the proposed CWM circuit allows higher-speed demodulation and simple implementation. It works well as a generic demodulator operating at a frequency range between 10 and 31 MHz. It also supports a wide range of data rates under any selected frequency from the operating range. A CWM-based scheme encoding two-bit-per-symbol, called Quad-level CWM (QCWM) is also proposed. The latter allows high data-rates-to-frequency ratios. Using a 0.13-μm CMOS process and 1.2 V power supply, both CWM and QCWM demodulators were implemented and fabricated. They respectively occupy die sizes of 2137 and 3256 μm2and dissipate, in worst conditions, 16.9 and 35.5 μW. Compared with state-of-the-art demodulators used for inductive forward data transmission, the proposed demodulators are distinctive given their low-energy efficiency and small silicon areas.
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".