Bibliographic record
Abstract
This research aims to increase the bandwidth of a transmission-line N-path filter around the clock frequency.The proposed filter consists of two four-path parallel stages with series inductors.The filter solves the trade-off between in-band insertion loss and out-of-band rejection of the original N-path filter.The proposed filter is tunable between 0.1 and 1 GHz.Post layout simulation results show that bandwidths of 80 MHz can be achieved when the filter is tuned to 1 GHz.A high-frequency 4-phase non-overlapping clock generator with a 25% duty cycle is designed to drive the proposed filter; an off-chip clock is applied at 4 times the switching frequency.The proposed filter has a die area of 1.5 𝑚𝑚 2 and was fabricated with CMOS 130-nm technology.The post-layout simulation results show that the filter is tunable from 0.1 to 1GHz, bandwidth of 80 MHz can be achieved at 1 GHz and the noise figure of the filter is less than 3.2 dB over the frequency range.Unfortunately, the clock generator is not working properly, which is why measurement results show discrepancies from the simulated results.Several hypotheses are explored to explain the cause of these differences.
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) | 0.002 | 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".