MétaCan
Menu
Back to cohort
Record W2098381788 · doi:10.1109/rfic.2008.4561393

A 2.5mW inductorless wideband VGA with dual feedback DC-offset correction in 90nm CMOS technology

2008· article· en· W2098381788 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Alberta
FundersFaculty of Graduate Studies and Research, University of AlbertaDefense Advanced Research Projects AgencyUniversity of Alberta
KeywordsVideo Graphics ArrayCMOSWidebandVariable-gain amplifierElectrical engineeringDC biasAmplifierElectronic engineeringChipOffset (computer science)BasebandBandwidth (computing)EngineeringComputer scienceOperational amplifierVoltageTelecommunications

Abstract

fetched live from OpenAlex

A low power inductorless wideband variable gain control amplifier (VGA) for baseband receivers has been designed in a standard digital 90nm CMOS technology. The VGA was implemented using four-stage modified Cherry-Hooper amplifier with a dual feedback DC-offset canceling network, which simultaneously corrects DC offsets and extends bandwidth without a peaking inductor resulting in saving the chip space significantly. The proposed VGA has been measured using on-chip probing and achieves a 3-dB bandwidth of more than 2.2GHz with 60dB gain tuning range. It consumes 2.5mW through a 1V supply (excluding the output buffer), and occupies only 0.01mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> active area.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.368
Threshold uncertainty score0.888

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.189
Teacher spread0.176 · 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

Quick stats

Citations59
Published2008
Admission routes2
Has abstractyes

Explore more

Same topicRadio Frequency Integrated Circuit DesignFrench-language works237,207