Low power wideband voltage and current mode second-order filters using wideband CMOS transimpedance network
Bibliographic record
Abstract
A very wideband CMOS transconductor is used to build a wideband transimpedance amplifier, which realizes second order low pass filters having -3 dB bandwidth to 75.6 MHz and band-pass filter with center frequency of 159 MHz using 1 pF with /spl plusmn/1.25 V power supplies. The power dissipations are respectively 0.67 mW and 0.45 mW per pole. Using Miller effect capacitance of MOS transistors, the low pass filter can be tuned from 124 MHz to 233 MHz with slightly increased power dissipation (0.78 mW per pole). An alternate architecture produces a low-pass bandwidth to 171.3 MHz with 1pF capacitors and a power dissipation of only 0.67 mW per pole. With /spl plusmn/2.5 V supply, the -3 dB frequency and the center frequency can be extended to 286 MHz and 398 MHz respectively with power dissipations of 12.25 mW/pole and 8.17 mW/pole respectively. Both voltage- and current-mode structures are studied.
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 | 0.001 |
| 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".