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Record W1590815838 · doi:10.1109/isscc.1997.585436

5.8 GHz and 12.6 GHz Si bipolar MMICs

2002· article· en· W1590815838 on OpenAlexaff
Sorin P. Voinigescu, M.C. Maliepaard

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsElectrical engineeringAmplifierBipolar junction transistorMicrostripOptoelectronicsElectronic circuitMonolithic microwave integrated circuitInductorBroadbandLow-noise amplifierMaterials scienceNoise figureWirelessTransistorTelecommunicationsEngineeringCMOS

Abstract

fetched live from OpenAlex

Wireless ATM in the 5 GHz band is the most recent addition to the family of multimedia applications. As in the case of lower-band and lower-speed wireless systems, the availability of low-cost silicon solutions is a prerequisite for its ubiquitous market presence. A family of circuits aimed at the wireless ATM and broadband multimedia applications is implemented in an implanted-base, double-poly Si bipolar technology. The process features bipolar transistors with f/sub T/, and f/sub MAX/ values of 24 GHz and 38 GHz, respectively at V/sub CE/=1 V. The minimum noise figure, NF/sub MIN/, is typically 2 dB at 5.5 GHz, while BV/sub CEO/ and BV/sub CBO/ are 4.2 V, and 15 V, respectively. The three-layer metallization with 2 /spl mu/m thick Al top layer allows for fabrication of inductors with Qs in the 6-10 range and microstrip and coplanar lines with Qs of 6 at 26 GHz. A 5.8 GHz double-balanced mixer and low-noise amplifier (LNA), and broadband 7.1 GHz and 12.6 GHz Darlington amplifiers from this family of circuits are discussed.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.002

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 head0.017
GPT teacher head0.171
Teacher spread0.154 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations31
Published2002
Admission routes1
Has abstractyes

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