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Record W1576814140 · doi:10.1109/iscas.2001.922367

A 2.3 V low noise, low power, 10 GHz bandwidth Si-bipolar transimpedance preamplifier for optical receiver front-ends

2002· article· en· W1576814140 on OpenAlexaff
Ye Lu, Mourad N. El-Gamal

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsMcGill University
Fundersnot available
KeywordsTransimpedance amplifierPreamplifierPhysicsElectrical engineeringBandwidth (computing)Noise (video)OptoelectronicsAmplifierOperational amplifierEngineeringTelecommunicationsComputer science

Abstract

fetched live from OpenAlex

A low-noise, low power Si-bipolar transimpedance preamplifier for optical-fibre receivers is presented. Design specifications are met in the form of trade-offs between input noise current, speed, transimpedance gain, power dissipation, impedance matching, and supply voltage. This preamplifier, designed in a 0.5 /spl mu/m 25 GHz self-aligned double poly silicon bipolar process, is expected to exhibit 8pA//spl radic/Hz input noise current, 10 GHz bandwidth, and 43 dB transimpedance gain, while dissipating only 9 mW from a single supply voltage of 2.3 V.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.942
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.014
GPT teacher head0.206
Teacher spread0.192 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2002
Admission routes1
Has abstractyes

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