Bibliographic record
Abstract
This thesis proposes an Integer-N frequency synthesizer in TSMC 0.18µm technology. The design is aimed for MICS (Medical Implantable Communication Services) devices operating at 402-406 MHz. A low phase noise, wide frequency range Quadrature Voltage Controlled Oscillator (QVCO) has been designed and simulated. The simulated phase noise @ 160 KHz offset is -100.3 dBc/Hz with the power consumption of 0.9 mW. This design addresses the small size, low phase noise and low power requirements for the Implantable devices. A wide frequency range Source Coupled Logic (SCL)32/33 prescaler divider has been designed. The program counter and Swallow counter have been implemented in Verilog-A which allow a division ratio of 2690 from the output of the QVCO. A phase frequency detector based on a modified TSPC D-Flip Flop is designed, which leads to a faster response time. The phase frequency detector, the charge pump, and the loop filter would consume 0.5 mW power. The total power consumption of the synthesizer is at 4.6 mW with 2% steady state settlement time of 160 μs.
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 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 | 0.000 |
| 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) | 0.004 | 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".