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Record W2033188687 · doi:10.1109/ccece.2008.4564786

A low power and wide frequency range voltage controlled oscillator with quadrature outputs

2008· article· en· W2033188687 on OpenAlexaffvenue
Nima Haghighi, Kaamran Raahemifar

Bibliographic record

VenueConference proceedings - Canadian Conference on Electrical and Computer Engineering · 2008
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsdBcPhase noiseElectrical engineeringMaterials scienceFrequency offsetMiniaturizationVoltageOffset (computer science)InductorCMOSOptoelectronicsElectronic engineeringEngineeringComputer scienceOrthogonal frequency-division multiplexing

Abstract

fetched live from OpenAlex

This paper presents a novel wide frequency range QVCO. Not having utilized any passive inductor (spiral) the chip area decreases dramatically. This miniaturization is aimed mostly to be beneficial in the Bioengineering or clock recovery circuit applications. The design is implemented with the use of Cadence SpectreRF (TSMC 0.18 mum) technology, 1.8 volt supply voltage. The operational frequency from 2.41 GHz to 6.85 GHz is obtained. Power consumption of 6.87 mW at 2.41 GHz and 12.78 mW at 5 GHz is achieved. Phase noise at 1 MHz offset for 2.41 GHz and 5 GHz quadrature oscillation is at -106.5 dBc/Hz and -87.29 dBc/Hz respectively. Also at 3.6 GHz with power consumption of 9.76 mW, the phase noise of -97.75 dBc/Hz at 1 MHz offset is resulted.

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: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.171
Teacher spread0.164 · 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
Published2008
Admission routes2
Has abstractyes

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