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Record W2132053598 · doi:10.1002/mop.25114

A variable gain amplifier using a very‐high speed OTA

2010· article· en· W2132053598 on OpenAlexaff
You Zheng, Carlos E. Saavedra

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2010
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsQueen's University
Fundersnot available
KeywordsOperational transconductance amplifierFully differential amplifierVariable-gain amplifierTransconductanceAmplifierAutomatic gain controlElectrical engineeringDirect-coupled amplifierOpen-loop gainCMOSEngineeringGain compressionOperational amplifierElectronic engineeringVoltageTransistor

Abstract

fetched live from OpenAlex

Abstract A variable gain amplifier is demonstrated using only one fully‐differential operational transconductance amplifier (OTA) as the core circuit element.Gain control is achieved by varying the transconductance of the OTA and by using an output buffer circuit to sum the output signals of the OTA in the correct phase relationship. The circuit was designed and fabricated using 0.18 μm CMOS technology. Measured results show a gain control range of 15 dB between 1 GHz and 3 GHz and the input and output reflection coefficients are below −10 dB and −20 dB, respectively. The output power of the amplifier is +2.3 dBm at its 1‐dB compression point. The chip has a maximum DC power consumption 12.6 mW and it measures 0.25 mm2 including bonding pads. © 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 52: 1112–1116, 2010; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.25114

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)0.001
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: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.199
Teacher spread0.190 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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