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Record W2071691343 · doi:10.1142/s021812660600326x

A BiCMOS 120 mW 11 GHz TRANSIMPEDANCE AMPLIFIER DEDICATED FOR HIGH-SPEED PHOTORECEIVERS

2006· article· en· W2071691343 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Circuits Systems and Computers · 2006
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsTransimpedance amplifierBiCMOSJitterBiasingChipElectrical engineeringBandwidth (computing)AmplifierOptoelectronicsElectronic engineeringPhysicsDifferential amplifierMaterials scienceVoltageComputer scienceEngineeringTelecommunicationsTransistor

Abstract

fetched live from OpenAlex

We present a new low-noise, low-power SiGe transimpedance amplifier (TIA) by combining an automatic DC photo-current cancellation, an on-chip DC offset compensation circuit and a single-ended to differential conversion scheme. The conversion method is based of the replica biasing technique in order to provide balanced output signals to the subsequent stages. The chip was fabricated in a 0.18 μm SiGe BiCMOS technology. Experimental results show excellent performances such as 11 GHz bandwidth, 75-dBΩ transimpedance, -19.2 dBm sensitivity measured at 10 Gb/s at a Bit Error Rate (BER) of 10 -12 , [Formula: see text] input referred noise, and 9.5 ps peak-to-peak jitter which are the best overall performances reported in its category. The photoreceiver chip is expected to dissipate only 120 mW from a single 3.3 V power supply.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.010
GPT teacher head0.191
Teacher spread0.181 · 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