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Record W2163779453 · doi:10.1109/newcas.2005.1496717

CURRENT STATUS AND TRENDS OF CMOS LOW VOLTAGE LOW POWER WIRELESS IC DESIGNS

2005· article· en· W2163779453 on OpenAlexaff
T.K.K. Tsang, Mourad N. El-Gamal, K. Iniewski, Kenneth A. Townsend, J.W. Haslett

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of CalgaryUniversity of AlbertaMcGill University
Fundersnot available
KeywordsCMOSWirelessElectrical engineeringLow-power electronicsLow voltagePower (physics)Electronic engineeringComputer scienceRadio frequencyVoltageVoltage-controlled oscillatorIntegrated circuit designEngineeringTelecommunicationsPower consumption

Abstract

fetched live from OpenAlex

This paper surveys recent research on IC designs for wireless applications. Recent advances in device technologies and system architectures are presented. Recent low power wireless systems, both from academia and from industry, are summarized. Circuit design techniques and challenges for low voltage and low power applications are discussed. RF performance and power trade-offs are addressed. Examples of common RF building blocks, e.g. LNA's and VCO's, designed for sub-1 V power supplies are presented.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.004

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 head0.014
GPT teacher head0.232
Teacher spread0.218 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations4
Published2005
Admission routes1
Has abstractyes

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