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Record W2079229985 · doi:10.1109/sirf.2014.6828524

A 65nm CMOS 0.1–2.1GHz linear-in-dB VGA with active-inductor bandwidth extension for the Square Kilometer Array

2014· article· en· W2079229985 on OpenAlexaff
Ge Wu, Leonid Belostotski, J.W. Haslett

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsVideo Graphics ArrayCMOSVariable-gain amplifierBandwidth (computing)BroadbandInductorAmplifierElectrical engineeringPhysicsElectronic engineeringEngineeringComputer scienceOpticsTelecommunicationsOperational amplifierVoltage

Abstract

fetched live from OpenAlex

In this paper, a 65nm CMOS broadband linear-in-dB Variable-Gain Amplifier (VGA) circuit for use in the Square Kilometer Array (SKA) is proposed. Active inductor loads are used to extend the 3dB bandwidth of the VGA over previous designs. Measurements show that the VGA is broadband, has a 3dB upper band edge of 2.1GHz, and easily covers the mid-band SKA range from 0.7GHz to 1.4GHz. The VGA has a maximum controllable gain range from −12.5dB to +22.4dB and a linear-in-dB range with 1dB error from −12.5dB to +16dB. Measured input P1dB is approximately −22dBm. The power consumption of the VGA is 1.1mW with another 5.1mW consumed by an input-match circuit and 11mW consumed by an output buffer circuit.

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 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 score0.728
Threshold uncertainty score0.974

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)0.0000.000

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 head0.025
GPT teacher head0.231
Teacher spread0.207 · 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 teacher head, 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

Citations3
Published2014
Admission routes1
Has abstractyes

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