Bibliographic record
Abstract
The analog front-end in a wireless transceiver acts as the interface between the antenna and the digital signal processor. In the digital signal processor, low power is essential, making submicron CMOS technology the best implementation choice. The analog front-end and specifically the low noise amplifier (LNA) require a high speed technology, such as GaAs or silicon bipolar. However, the use of low-cost submicron CMOS or SOI CMOS technology in the analog front-end may lead to an optimum single chip implementation of both the analog and digital building blocks in wireless transceivers used in modern high capacity mobile communication systems. Such an implementation offers reduced cost and improved reliability. This paper describes a 1 V, 0.5 /spl mu/m SOI CMOS LNA optimized for CDMA applications and operating in the 1.93-1.99 GHz band. Compared to previously reported designs (Johnson et al., 1998; Komurasaki et al., 1998; Jin et al., 1999; Harada et al., 2000), this design offers lower noise, high gain, low intermodulation distortion and on-chip 50 /spl Omega/ input output impedance matching.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".